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{ | |
"basics": { | |
"name": "Nicholas Roth", | |
"label": "Director of Product Management", | |
"image": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSLvVdR1ZM8JEb691z0OrWLZ2XdCVbGbhjMQQ&s", | |
"email": "[email protected]", | |
"phone": "256-513-9876", | |
"url": "https://www.nickroth.com", | |
"summary": "Strategic and hands-on Product Leader with **14 years of experience** spanning **Product Management (8+ years, 5+ in senior leadership at DealNews)** and **Systems Engineering (6 years)**. Proven record of scaling teams, modernizing platforms, and driving revenue growth through **AI-powered content automation, advanced SEO, and data-driven experimentation**.\n\n### Leadership & Management\n- Directed **engineering teams of up to 11** including Product Managers and SEO specialists.\n- Experienced in **cross-functional leadership**, vendor management, and procurement strategy.\n- Known for **bridging technical depth with product vision** to deliver measurable impact.\n\n### Core Expertise & Achievements\n- **AI & Automation**\n - Designed workflows evolving from **API-driven systems (2017)** to **current AI-powered pipelines** using **vector embeddings, LLMs, and advanced content extraction**.\n - Pioneered **content automation evolution**: from Lambda-based metadata extraction → **AI-driven generation and optimization**.\n - Built **personalized recommendation and email automation systems** leveraging AI for higher engagement.\n\n- **Platform Modernization**\n - Leading **2023–2025 modernization**: full transition from **LAMP stack** to **DatoCMS + NextJS + TypeScript + Supabase + Typesense**.\n - Oversaw **procurement, vendor management, and implementation** of headless architecture.\n - Consolidated React Native apps into a unified experience for efficiency and scalability.\n\n- **Growth & Revenue Strategy**\n - At **DealNews ($12–15M revenue, debt-free)**, led strategic shift from broad coverage to **top-funnel, high-commission editorial approach**, competing effectively against major media players.\n - Achieved **$35k/month platform cost savings** through cloud migration and optimization.\n - Increased mobile revenue **125% YoY** via **custom A/B testing and CRO experimentation**.\n - Scaled diversified monetization strategies: direct native ad sales, affiliate partnerships, personalized campaigns, and **custom affiliate tracking solutions**.", | |
"location": { | |
"countryCode": "United States", | |
"address": "2731 Natures Trl SE", | |
"postalCode": "35763", | |
"city": "Owens Crossroads", | |
"region": "Alabama" | |
}, | |
"profiles": [ | |
{ | |
"network": "LinkedIn", | |
"username": "nicholasleeroth", | |
"url": "https://www.linkedin.com/in/nicholasleeroth/" | |
}, | |
{ | |
"network": "GitHub", | |
"username": "rothnic", | |
"url": "https://github.com/rothnic" | |
} | |
] | |
}, | |
"work": [ | |
{ | |
"name": "DealNews", | |
"position": "Director of Product Management", | |
"startDate": "2019-07-31", | |
"highlights": [ | |
"Led comprehensive product strategy for a $12-15M affiliate marketing platform, managing product vision across web, mobile app, and email channels while serving as strategic leadership team member for EOS implementation", | |
"Directly managed 2 team members: Junior Product Manager (mobile app) and Senior SEO and Growth Strategist. Defined the SEO role, championed its creation, recruited for the position, and provided product and technical mentorship with significant positive results", | |
"Managed product backlog for engineering team of up to 11 individuals, implementing Agile development process with predictive roadmapping and scoring guide for work estimation that accurately predicted time to completion", | |
"Championed and executed transformative SEO product strategy, transitioning from underperforming external agency to in-house model by personally budgeting for and hiring dedicated SEO Product resource, resulting in 400% YoY increase in blog revenue and 150% increase in monthly organic user acquisition", | |
"Spearheaded comprehensive migration from Sailthru to HubSpot email platform, achieving $35,000/month cost savings through custom object architecture, programmable email templates, and automated CMS synchronization while maintaining advanced personalization capabilities", | |
"Led comprehensive platform modernization project (2023-2025) transitioning from LAMP stack + Elasticsearch + PHP CMS to DatoCMS + NextJS + TypeScript + Supabase + Typesense, managing full procurement process (RFI, RFP, SOW) and vendor contracts while developing custom React plugins", | |
"Architected AI-powered content workflows (Windmill, n8n) and custom React DatoCMS plugins, improving content production speed by 100% and enabling efficient scaling of human-curated, editorial content that drives majority returning/direct traffic", | |
"Developed advanced AI-powered product categorization system using vector embeddings and Supabase, automatically matching products to category tree without manual mappings while generating optimized titles, descriptions, and feature lists for homepage feed scanning", | |
"Architected evolving content extraction system from Lambda-based schema.org parsing to AI-powered content generation, transforming any landing URL into structured offers and product content using multiple data sources and Chrome extension integration", | |
"Implemented strategic shift from breadth-based coupon approach to top-funnel, high commission, discovery-oriented content strategy, focusing on incremental sales and working with sales team to acquire influencer-comparable commission rates", | |
"Designed and implemented Self-Serve Native Ad Portal enabling Amazon sellers to independently create native ad units, featuring Pardot integration, credit-based ad spend management, and CPC bidding system for ad prioritization, reducing operational overhead while expanding revenue opportunities", | |
"Developed Amazon Product Discovery service connecting new/poorly ranking Amazon products with audience through exclusive discounts, driving external traffic that influences sales rank with lower ACOS than Facebook ads", | |
"Drove 60% increase in programmatic ad revenue through new ad technology implementation and 35% increase in app engagement through personalized feeds leveraging Typesense and user interaction data from unified React Native platform", | |
"Strategic leadership team member instrumental in implementing EOS, defining company-wide KPIs, evaluating competitive positioning against major players (CNN, Forbes coupon sections), and setting organizational strategy for lean, debt-free company" | |
], | |
"summary": "Led comprehensive product strategy for lean $12-15M affiliate marketing platform, managing direct reports and engineering teams while pioneering AI-driven content automation and strategic positioning against major media competitors.", | |
"url": "https://www.linkedin.com/company/dealnews-com/", | |
"location": "Huntsville, Alabama, United States" | |
}, | |
{ | |
"name": "DealNews", | |
"position": "Product Owner - Web", | |
"startDate": "2017-05-31", | |
"endDate": "2019-07-31", | |
"highlights": [ | |
"Led Agile adoption and implementation for full distributed DealNews.com web stack (custom PHP web server, custom PHP CMS, multiple MySQL databases, Elasticsearch, internal APIs, external Syndication partner API)", | |
"Managed product backlog for engineering team, establishing Agile development process with predictive roadmapping and work scoring methodology that accurately predicted delivery timelines", | |
"Developed and executed mobile web optimization strategy using custom Optimizely grid layout, achieving 65% increase in Sales Leads during testing and post-rollout results of 108% YoY Sales Leads increase, 125% YoY Revenue increase, and 120% YoY Clicks Per Visit increase", | |
"Drove significant user interaction improvements (100% YoY lift) by directly developing HTML/JavaScript for A/B tests and establishing robust experimentation framework", | |
"Established new design and experimentation process that increased yearly A/B tests by 10x, greatly increasing rate of gathering user insights and data-driven decision making", | |
"Responsible for maintaining technical configuration and API integrations with external services (Sailthru, Pushnami) ensuring seamless operations across the platform", | |
"Developed 'Prospector' automated price monitoring system using Amazon API and Keepa API to track price drops, automatically create structured offers in CMS with category mapping, and manage offer lifecycle, establishing foundation for content automation strategies with team curation to maintain quality", | |
"Designed and implemented personalized dynamic email template system using Sailthru, integrating with CMS for real-time content rendering and leveraging both implicit and explicit user data for content segmentation and prioritization", | |
"Integrated software engineering backlog with product initiatives to create clear, understandable product roadmap tied to technical work required for delivery", | |
"Led discovery and validation of user needs through user research, usability analysis, UX prototyping, and A/B testing methodologies", | |
"Built initial Lambda-based content extraction system parsing landing page metadata (schema.org, OpenGraph) with domain-specific rules, establishing foundation for current AI-powered content generation workflows", | |
"Led redesign and rewrite of separate iOS and Android apps into unified React Native codebase, building API endpoints for mobile-web feature parity including faceted search and filtering, while incorporating web A/B testing learnings into mobile experimentation framework" | |
], | |
"summary": "Executed hands-on product ownership for custom e-commerce platform, implementing Agile methodologies with predictive planning while directly coding experiments to drive user engagement improvements.", | |
"url": "https://www.linkedin.com/company/dealnews-com/", | |
"location": "Huntsville, AL" | |
}, | |
{ | |
"name": "DealNews", | |
"position": "Data Analyst", | |
"startDate": "2015-05-31", | |
"endDate": "2017-05-31", | |
"highlights": [ | |
"Established new data warehouse (Amazon Redshift) and Tableau reporting systems, aligning data models with stakeholder needs and defining company KPIs", | |
"Utilized SQL and Python (scientific libraries) for quantitative analysis of user and marketing data to identify trends, classify behavior, and predict outcomes, directly informing product strategy", | |
"Replaced legacy reports with Tableau reports leveraging new Amazon Redshift Data Warehouse", | |
"Analyzed and optimized complex, analytical SQL queries to reduce Amazon Redshift resource usage" | |
], | |
"summary": "Built foundational data infrastructure and analytics capabilities, establishing KPI frameworks and predictive models that informed strategic product decisions.", | |
"url": "https://www.linkedin.com/company/dealnews-com/", | |
"location": "Huntsville, AL" | |
}, | |
{ | |
"name": "Anaconda (Formerly Continuum Analytics)", | |
"position": "Software Engineer (Contract)", | |
"startDate": "2015-04-01", | |
"endDate": "2016-01-31", | |
"highlights": [ | |
"Developed graphics system using Python for representing data with unique visual elements", | |
"Applied Python programming expertise to data visualization challenges", | |
"Contributed to open source data science ecosystem and visualization tools" | |
], | |
"summary": "Short-term contract focused on Python-based data visualization and graphics systems development.", | |
"url": "https://www.anaconda.com/" | |
}, | |
{ | |
"name": "nou Systems, Inc.", | |
"position": "Systems Engineer/Analyst (Engineer IV)", | |
"startDate": "2014-03-31", | |
"endDate": "2015-05-31", | |
"highlights": [ | |
"Led Small Business Innovation Research (SBIR) proposals from concept and value proposition through award and Phase I/II execution, managing full lifecycle from proposal development to project delivery", | |
"Performed data analysis on large data sets from BMDS (Ballistic Missile Defense System) test events and developed tooling to reduce resources needed by 50% to deliver insights to executive-level stakeholders in the Missile Defense Agency", | |
"Developed interactive visualization of modeled missile flights using open source technology (Python, JavaScript, MATLAB, Cesium.js), which increased speed of delivery and reduced cost of development", | |
"Created System Architecture Models using SysML to deliver insights about complex defense systems", | |
"Achieved expert level understanding of MATLAB language mechanics for advanced data analysis", | |
"Utilized comprehensive open source visualization and analysis tools including Python, Numpy, Pandas, Matplotlib, Node.js, D3.js, and Cesium.js" | |
], | |
"summary": "Applied systems engineering principles to defense contracting with focus on data analysis, interactive visualization, and SBIR proposal management for missile defense programs.", | |
"url": "https://www.linkedin.com/company/nou-systems-inc/" | |
}, | |
{ | |
"name": "Missile Defense Agency", | |
"position": "Lead Engineer for Spiral Architecture", | |
"startDate": "2011-08-01", | |
"endDate": "2014-02-28", | |
"highlights": [ | |
"Led design architect across information system increments for globally deployed Command and Control System (C2BMC)", | |
"Responsible for design, development, and integration of system architecture across multiple spiral increments", | |
"Managed changes occurring during design phases and maintained architectural integrity", | |
"Led multiple products requiring international agreements and multi-agency coordination (US/NATO systems)", | |
"Developed comprehensive approach and guidelines for implementing Model-Based Systems Engineering (MBSE) across the program", | |
"Created customized SysML profile specifically for MDA domain requirements", | |
"Developed sample architecture models to inform contractor of government requirements and expectations", | |
"Led new capability integration from concept development, statement of work, through contract award and architecture design", | |
"Served as primary interface between multiple external agencies and contractor teams", | |
"Authored multiple technical white papers to convey program positions to stakeholders", | |
"Led recurring architecture coordination meetings between government and contractors", | |
"Managed execution of system architecture development across distributed teams", | |
"Served as MDA representative for Net-Centric Command and Control and United Kingdom Releasable Client", | |
"Developed architecture for data sharing and Space Situational Awareness capabilities for USSTRATCOM", | |
"Utilized MBSE to communicate desired functionality and system requirements", | |
"Negotiated better interface design between external agencies and contractors", | |
"Authored test plans to verify compatibility of developed software with external systems", | |
"Authored test plans and negotiated contractor agreements to evaluate high risk technology earlier in the system development lifecycle using incremental approach", | |
"Executed subsystem-level design maturation and design reviews (PDR, CDR)", | |
"Conducted comprehensive Requirements Analysis across complex system interfaces", | |
"Managed team of 8 engineers from Georgia Tech Research Institute (GTRI) as part of FFRDC project, directly overseeing their work on modeling and simulation framework for validating missile tracking algorithms", | |
"Developed integrated schedule to identify and track algorithm development and testing interdependencies across distributed teams" | |
], | |
"summary": "Led system architecture for critical missile defense C2BMC system, pioneering MBSE adoption and managing complex multi-agency integrations including US/NATO interoperability.", | |
"url": "https://www.linkedin.com/company/missile-defense-agency/" | |
}, | |
{ | |
"name": "Missile Defense Agency", | |
"position": "Systems Engineer - Advanced Concepts", | |
"startDate": "2010-11-21", | |
"endDate": "2011-07-20", | |
"highlights": [ | |
"Led University Outreach initiatives, articulating MDA's future capabilities needs to academic institutions", | |
"Developed briefings for senior leadership on advanced concepts and future system capabilities", | |
"Led Future Networks Bandwidth and Latency Trade Study including planning, concept development, and execution", | |
"Contributed to Enhanced C2BMC (Command and Control, Battle Management, and Communications) advanced concepts development" | |
], | |
"summary": "Focused on advanced concepts development and strategic planning for next-generation missile defense capabilities.", | |
"url": "https://www.linkedin.com/company/missile-defense-agency/" | |
}, | |
{ | |
"name": "Missile Defense Agency", | |
"position": "Systems Engineer - Safety & Quality", | |
"startDate": "2010-03-21", | |
"endDate": "2010-11-20", | |
"highlights": [ | |
"Conducted Net-Centric Command and Control Risk Safety Assessment including research and documentation of safety controls", | |
"Managed document staffing and presentation to BMDS System Safety Working Group", | |
"Achieved formal signature by program leadership on critical safety assessments", | |
"Presented net centric architecture concept to Quality leadership", | |
"Authored comprehensive Risk Safety Assessment with sufficient detail to lower Quality risk safety assessment" | |
], | |
"summary": "Specialized in safety and quality assurance for net-centric command and control systems.", | |
"url": "https://www.linkedin.com/company/missile-defense-agency/" | |
}, | |
{ | |
"name": "Missile Defense Agency", | |
"position": "Systems Engineer - C2BMC Development", | |
"startDate": "2009-07-20", | |
"endDate": "2010-03-20", | |
"highlights": [ | |
"Led development of C2BMC Planner Adapter including specifications, testing, and demonstration", | |
"Developed Net-Centric Command and Control ICD (Interface Control Document) and Data Consumer's Guide", | |
"Provided technical analysis of service oriented architecture web service specifications and their potential impact on performance and functionality", | |
"Conducted research to provide US input into NC3A (NATO Consultation, Command and Control Agency) web services workshop to establish compatibility path with NATO web services", | |
"Served as Configuration Control Board voting member for XML schema standards", | |
"Led Mission Planner Interoperability Experiment for MDA including development of C2BMC Planner Adapter specifications", | |
"Supported lab testing and modifications for international interoperability", | |
"Conducted demonstration in The Netherlands with warfighters to help define future NATO-US planner interface requirements", | |
"Led project to adapt US and NATO interfaces for two-way data exchange", | |
"Served as MDA representative on data standards working groups", | |
"Led development of pub/sub messaging bus web service, resulting in the first API available for missile defense data" | |
], | |
"summary": "Developed foundational C2BMC capabilities and established first missile defense APIs while leading international interoperability initiatives.", | |
"url": "https://www.linkedin.com/company/missile-defense-agency/" | |
}, | |
{ | |
"name": "ToolFX", | |
"position": "CNC Operator", | |
"startDate": "2001-06-30", | |
"endDate": "2004-08-31", | |
"highlights": [ | |
"Quality Control and Manufacturing operations", | |
"Fabrication of custom designed equipment, tools, and parts" | |
], | |
"summary": "Early career manufacturing experience providing foundation in quality control and precision operations." | |
} | |
], | |
"volunteer": [ | |
{ | |
"organization": "Nature's Cove Home Owners Association", | |
"position": "Vice President", | |
"startDate": "2022-01-01", | |
"endDate": "2023-05-01", | |
"summary": "Led effort to refurbish neighborhood playground equipment and led selection and migration of website and HOA management software.", | |
"highlights": [ | |
"Led neighborhood playground equipment refurbishment project", | |
"Managed selection and migration of website and HOA management software" | |
], | |
"location": "Owens Cross Roads, AL" | |
} | |
], | |
"education": [ | |
{ | |
"institution": "Georgia Institute of Technology", | |
"area": "Systems Engineering", | |
"studyType": "Master's degree", | |
"startDate": "2012-12-31", | |
"endDate": "2014-12-31", | |
"score": "4.0", | |
"courses": [ | |
"Fundamentals of Modern Systems Engineering", | |
"Systems Design and Analysis", | |
"Modeling and Simulation for Systems Engineering", | |
"Leadership Development", | |
"Introduction to Systems Engineering", | |
"Leading Engineering Teams" | |
], | |
"summary": "Focused on systems optimization, project management, and risk analysis with emphasis on leadership development. Systems Engineering discipline emphasizes complex 'system-level' product management, where the full product life-cycle and organization is managed as a 'system of systems', often requiring integration with external systems. Coursework included formal training in team management and leadership." | |
}, | |
{ | |
"institution": "Auburn University", | |
"area": "Wireless Electrical Engineering", | |
"studyType": "Bachelor of Science (BS)", | |
"startDate": "2006-12-31", | |
"endDate": "2009-12-31", | |
"score": "3.2", | |
"courses": [ | |
"Wireless Networks", | |
"Antennas and Antenna Systems", | |
"Information Networks and Technology", | |
"Communication Systems", | |
"Electromagnetics for Wireless Communications", | |
"Digital Electronics", | |
"Analog Electronics" | |
], | |
"summary": "Focused on wireless communication systems, circuit design, and signal processing with networking specialization." | |
} | |
], | |
"awards": [ | |
{ | |
"title": "Missile Defense Career Development Professional of the Year", | |
"date": "2010-06-30", | |
"awarder": "Missile Defense Agency", | |
"summary": "Recognized for outstanding contributions to missile defense systems, demonstrating exceptional leadership and innovation in the field. Honors given to the entry-level engineer with the largest agency contributions. Awarded due to time-critical work that led to the fielding of Net-Centric Command and Control. Presented net centric architecture concept to Quality leadership and authored Risk Safety Assessment with sufficient detail to lower Quality risk safety assessment. Continued supporting prior rotational responsibilities after rotating to new assignment." | |
}, | |
{ | |
"title": "Young Engineer of the Year", | |
"date": "2009-12-31", | |
"awarder": "Missile Defense Agency", | |
"summary": "Received MDA award recognizing exceptional early-career contributions to missile defense programs and technical excellence." | |
} | |
], | |
"certificates": [ | |
{ | |
"name": "Security Clearance - Top Secret", | |
"issuer": "U.S. Government", | |
"startDate": "2014-12-31", | |
"endDate": "2015-03-31", | |
"summary": "Held Top Secret security clearance (December 2014 - March 2015, expired)", | |
"date": "2014-12-31" | |
}, | |
{ | |
"name": "Security Clearance - Secret", | |
"issuer": "U.S. Government", | |
"startDate": "2009-07-31", | |
"endDate": "2015-03-31", | |
"summary": "Held Secret security clearance (July 2009 - March 2015, expired)", | |
"date": "2009-07-31" | |
}, | |
{ | |
"name": "Systems Planning, Research Development, and Engineering (SPRDE) Level II", | |
"issuer": "Defense Acquisition University", | |
"startDate": "2011-07-31", | |
"summary": "Multi-year Defense Acquisition University certification in systems engineering including formal training in team management and leadership", | |
"date": "2011-07-31" | |
}, | |
{ | |
"name": "An Introduction to Interactive Programming in Python", | |
"issuer": "Coursera", | |
"startDate": "2014-05-31", | |
"url": "https://www.coursera.org/course/interactivepython", | |
"summary": "Certification in Python programming from Coursera", | |
"date": "2014-05-31" | |
} | |
], | |
"publications": [ | |
{ | |
"name": "An Architectural Assessment of Bitcoin: Using the Systems Modeling Language", | |
"publisher": "Procedia Computer Science", | |
"releaseDate": "2015-03-31", | |
"summary": "A functional analysis, employing the Systems Modeling Language (SysML), is performed on the Bitcoin System of Systems architecture to help gain an understanding of the structure and functionality, and how that relates to the key actors and use cases, for determining if the users' expectations are aligned with the architecture.", | |
"url": "http://www.sciencedirect.com/science/article/pii/S1877050915003026" | |
}, | |
{ | |
"name": "Georgia Aquarium Design Space Analysis and Optimization", | |
"publisher": "Procedia Computer Science", | |
"releaseDate": "2015-03-31", | |
"summary": "Using low-cost software solutions to perform trade space analyses with interactive, multi-domain models.", | |
"url": "http://www.sciencedirect.com/science/article/pii/S1877050915002379" | |
} | |
], | |
"skills": [ | |
{ | |
"name": "Team Leadership & Management", | |
"level": "Advanced", | |
"keywords": [ | |
"Team Management", | |
"Direct Reports", | |
"Engineering Team Leadership", | |
"Contractor Management", | |
"Product Team Leadership", | |
"Technical Mentorship", | |
"Hiring & Recruiting", | |
"Performance Management", | |
"Cross-functional Coordination" | |
] | |
}, | |
{ | |
"name": "Product Management & Strategy", | |
"level": "Expert", | |
"keywords": [ | |
"Product Strategy", | |
"Product Development", | |
"Product Roadmapping", | |
"Product Requirements", | |
"Product Leadership", | |
"Long-term Vision", | |
"Growth Initiatives" | |
] | |
}, | |
{ | |
"name": "Affiliate Marketing & Monetization", | |
"level": "Expert", | |
"keywords": [ | |
"Affiliate Marketing", | |
"Revenue Optimization", | |
"Custom Affiliate Link Generation", | |
"Native Ad Sales", | |
"Programmatic Revenue", | |
"Conversion Optimization", | |
"Commission Strategy", | |
"Top-funnel Marketing", | |
"Incremental Sales", | |
"Amazon Product Discovery", | |
"ACOS Optimization", | |
"Editorial Content Strategy", | |
"Discovery-oriented Content", | |
"Self-Serve Ad Platforms", | |
"Ad Operations", | |
"CPC Bidding Systems", | |
"Email Marketing", | |
"Newsletter Monetization", | |
"Re-engagement Campaigns", | |
"Email Template Optimization", | |
"Dynamic Email Content", | |
"Automated Offer Generation", | |
"Price Drop Monitoring", | |
"Offer Lifecycle Management", | |
"AI-Powered Content Generation", | |
"Product Categorization" | |
] | |
}, | |
{ | |
"name": "AI & Automation", | |
"level": "Advanced", | |
"keywords": [ | |
"Artificial Intelligence (AI)", | |
"AI-powered Content Workflows", | |
"Vector Embeddings", | |
"Supabase", | |
"Windmill.dev", | |
"LangGraph", | |
"OpenAI", | |
"ChatGPT", | |
"Chrome Extensions", | |
"Automation", | |
"No-code Solutions", | |
"Content Automation", | |
"Semi-automation", | |
"API Integration", | |
"Amazon API", | |
"Keepa API", | |
"Price Monitoring", | |
"Automated Content Generation", | |
"Product Categorization", | |
"Feature Extraction", | |
"Content Extraction", | |
"Schema.org", | |
"Metadata Parsing", | |
"Lambda Functions", | |
"Markdown Conversion", | |
"Image Analysis" | |
] | |
}, | |
{ | |
"name": "SEO & Content Strategy", | |
"level": "Advanced", | |
"keywords": [ | |
"Search Engine Optimization (SEO)", | |
"Content Production", | |
"Core Web Vitals", | |
"Organic User Acquisition", | |
"Content Automation" | |
] | |
}, | |
{ | |
"name": "Data Analysis & Visualization", | |
"level": "Advanced", | |
"keywords": [ | |
"Data Analysis", | |
"Data Visualization", | |
"Tableau", | |
"SQL", | |
"Python (Programming Language)", | |
"Analytics", | |
"Behavioral Analytics", | |
"Data-driven Decision Making", | |
"User Segmentation", | |
"Personalization", | |
"Content Prioritization", | |
"Implicit Data Collection", | |
"Explicit Data Collection" | |
] | |
}, | |
{ | |
"name": "Systems Engineering", | |
"level": "Expert", | |
"keywords": [ | |
"Systems Engineering", | |
"System Architecture", | |
"Model Based Systems Engineering (MBSE)", | |
"SysML", | |
"Requirements Analysis", | |
"Requirements Management", | |
"Complex Systems", | |
"Systems Thinking", | |
"System Verification", | |
"Design Reviews", | |
"PDR", | |
"CDR", | |
"Trade Studies", | |
"Interface Control Documents (ICD)", | |
"Configuration Control Board", | |
"XML Schema" | |
] | |
}, | |
{ | |
"name": "Defense & Aerospace Systems", | |
"level": "Expert", | |
"keywords": [ | |
"Missile Defense Systems", | |
"BMDS", | |
"C2BMC", | |
"Command and Control", | |
"Battle Management", | |
"Space Situational Awareness", | |
"USSTRATCOM", | |
"NATO Integration", | |
"International Agreements", | |
"Multi-agency Coordination", | |
"Warfighter Integration", | |
"Net-Centric Architecture" | |
] | |
}, | |
{ | |
"name": "Technical Leadership", | |
"level": "Advanced", | |
"keywords": [ | |
"Technical Proficiency", | |
"System Architecture", | |
"Information Architecture", | |
"Integration", | |
"Modern Web Technologies", | |
"Next.js", | |
"NextJS", | |
"TypeScript", | |
"React", | |
"React Native", | |
"Typesense", | |
"DatoCMS", | |
"Headless CMS", | |
"Supabase", | |
"PostHog", | |
"API Integration", | |
"API Design", | |
"Amazon API", | |
"Keepa API", | |
"Vector Databases", | |
"Windmill.dev", | |
"Lambda Functions", | |
"Schema.org", | |
"OpenGraph", | |
"Metadata Parsing", | |
"CSS Selectors", | |
"Platform Modernization", | |
"Technical Architecture", | |
"Search Infrastructure", | |
"Pardot", | |
"Sailthru", | |
"HubSpot", | |
"Marketing Automation", | |
"Email Automation", | |
"Email Personalization", | |
"Dynamic Content Rendering", | |
"Real-time Integration", | |
"Programmable Email", | |
"Custom Objects", | |
"Platform Migration", | |
"Cross-Platform Development" | |
] | |
}, | |
{ | |
"name": "Agile & Product Development", | |
"level": "Advanced", | |
"keywords": [ | |
"Agile Methodologies", | |
"A/B Testing", | |
"Optimizely", | |
"PostHog", | |
"User Experience (UX)", | |
"Experimentation", | |
"Product Lifecycle Management", | |
"Test Automation", | |
"Mobile Optimization", | |
"Cross-Platform Strategy", | |
"User Behavior Analysis", | |
"Click-Through Rate Optimization", | |
"Email Campaign Management", | |
"Workflow Automation", | |
"List Management", | |
"Mobile A/B Testing", | |
"Feature Parity", | |
"Platform Unification", | |
"Analytics", | |
"CDP" | |
] | |
}, | |
{ | |
"name": "Programming & Development", | |
"level": "Intermediate", | |
"keywords": [ | |
"JavaScript", | |
"TypeScript", | |
"Python (Programming Language)", | |
"HTML", | |
"CSS", | |
"React", | |
"React Native", | |
"NextJS", | |
"Node.js", | |
"Git", | |
"Optimizely Development", | |
"Custom Grid Layouts", | |
"A/B Test Implementation", | |
"Mobile App Development", | |
"Cross-Platform Development", | |
"React Plugin Development" | |
] | |
}, | |
{ | |
"name": "Mobile & Cross-Platform Development", | |
"level": "Advanced", | |
"keywords": [ | |
"React Native", | |
"Mobile App Development", | |
"iOS Development", | |
"Android Development", | |
"Cross-Platform Development", | |
"Mobile UX", | |
"App Store Optimization", | |
"Mobile A/B Testing", | |
"Faceted Search", | |
"Mobile API Design", | |
"Platform Consolidation" | |
] | |
}, | |
{ | |
"name": "Technical Tools & Platforms", | |
"level": "Advanced", | |
"keywords": [ | |
"MagicDraw", | |
"Sparx Enterprise Architect", | |
"MATLAB", | |
"AnyLogic", | |
"ModelCenter", | |
"STK", | |
"Cesium.js", | |
"D3.js", | |
"Numpy", | |
"Pandas", | |
"Matplotlib" | |
] | |
}, | |
{ | |
"name": "Contract & Program Management", | |
"level": "Advanced", | |
"keywords": [ | |
"Technical Contract Representative", | |
"SBIR Proposal Development", | |
"Statement of Work (SOW)", | |
"Request for Information (RFI)", | |
"Request for Proposal (RFP)", | |
"Vendor Selection", | |
"Vendor Management", | |
"Cost Estimation", | |
"Contractor Management", | |
"Government Contracting", | |
"Defense Acquisition", | |
"Program Coordination", | |
"Multi-agency Programs", | |
"FFRDC Management", | |
"Procurement Oversight", | |
"Development Contracts", | |
"Support Contracts", | |
"Fixed-Cost Contracts", | |
"Offshore Contractor Management" | |
] | |
}, | |
{ | |
"name": "Business Strategy & Competitive Analysis", | |
"level": "Advanced", | |
"keywords": [ | |
"Strategic Planning", | |
"Strategic Thinking", | |
"Competitive Positioning", | |
"Market Analysis", | |
"Business Model Strategy", | |
"EBITDA Optimization", | |
"Lean Operations", | |
"Revenue Strategy", | |
"Market Differentiation", | |
"Competitor Analysis", | |
"Cost Optimization", | |
"Platform Migration Strategy", | |
"Vendor Management" | |
] | |
}, | |
{ | |
"name": "Business & Leadership", | |
"level": "Advanced", | |
"keywords": [ | |
"Risk Management", | |
"Project Management", | |
"Critical Thinking", | |
"Return on Investment", | |
"Executive Briefings", | |
"Stakeholder Management", | |
"University Relations", | |
"Cross-functional Leadership", | |
"Process Improvement" | |
] | |
} | |
], | |
"languages": [ | |
{ | |
"language": "English", | |
"fluency": "Native Speaker" | |
} | |
], | |
"interests": [ | |
{ | |
"name": "Technology Innovation", | |
"keywords": [ | |
"AI", | |
"Automation", | |
"Internet of Things (IoT)", | |
"Robotics", | |
"Machine Learning" | |
] | |
}, | |
{ | |
"name": "Engineering & Making", | |
"keywords": [ | |
"DIY Projects", | |
"Woodworking", | |
"Home Improvement Construction", | |
"Electronics", | |
"Circuit Design" | |
] | |
}, | |
{ | |
"name": "Outdoor Activities", | |
"keywords": [ | |
"Fishing" | |
] | |
} | |
], | |
"references": [], | |
"projects": [ | |
{ | |
"name": "Prospector: Automated Amazon Price Drop Detection System", | |
"startDate": "2017-09-01", | |
"endDate": "2019-03-01", | |
"summary": "Developed semi-automated content generation system leveraging Amazon API and Keepa API to identify price drops for highly filtered saved searches and automatically create monetized offers. Implemented intelligent offer lifecycle management with automatic creation when items appear in searches and auto-expiration when no longer qualifying. Designed curation-focused approach allowing team oversight to maintain content quality while scaling offer generation.", | |
"highlights": [ | |
"Built automated price drop detection system using Amazon API data and Keepa API for saved search management", | |
"Implemented intelligent offer lifecycle: auto-creation when items qualify in saved searches, auto-expiration when items no longer meet criteria", | |
"Designed semi-automated workflow allowing team curation to filter trusted brands and identify category-appropriate price drops", | |
"Created highly filtered saved search system to target specific product categories and price drop thresholds", | |
"Developed monetization pipeline that automatically generated affiliate offers for qualifying price drops", | |
"Balanced automation efficiency with content quality through human oversight and brand filtering capabilities", | |
"Established foundation for content automation strategies that evolved into current AI-powered workflows" | |
], | |
"keywords": [ | |
"Content Automation", | |
"Amazon API", | |
"Keepa API", | |
"Price Drop Detection", | |
"Saved Searches", | |
"Offer Lifecycle Management", | |
"Semi-automation", | |
"Content Curation", | |
"Affiliate Monetization", | |
"Brand Filtering" | |
] | |
}, | |
{ | |
"name": "Personalized Dynamic Email Template System", | |
"startDate": "2017-06-01", | |
"endDate": "2019-12-01", | |
"summary": "Designed and implemented custom email template system using Sailthru to deliver personalized dynamic offers within emails, pulled from CMS and rendered at send time. Built comprehensive personalization engine using both implicit and explicit user data to organize content segments and prioritize relevance. Implemented advanced email automation workflows for list management, re-engagement campaigns, and newsletter delivery.", | |
"highlights": [ | |
"Developed custom email templates integrating Sailthru with DealNews CMS for real-time content rendering at send time", | |
"Built personalization engine collecting both implicit user behavior data and explicit preference information", | |
"Implemented intelligent content segmentation and prioritization algorithms to maximize relevance for individual users", | |
"Created automated workflow systems for list management, user re-engagement campaigns, and newsletter distribution", | |
"Designed dynamic offer presentation system that pulled live deals from CMS based on user interests and interaction history", | |
"Established email automation workflows to optimize send timing, frequency, and content selection per user segment" | |
], | |
"keywords": [ | |
"Email Personalization", | |
"Sailthru", | |
"Dynamic Content", | |
"CMS Integration", | |
"Real-time Rendering", | |
"User Segmentation", | |
"Email Automation", | |
"Workflow Management", | |
"Behavioral Data", | |
"Re-engagement Campaigns" | |
] | |
}, | |
{ | |
"name": "React Native Mobile App Consolidation & API Unification", | |
"startDate": "2018-06-01", | |
"endDate": "2020-02-01", | |
"summary": "Led redesign and rewrite of separate iOS and Android apps into unified React Native codebase, eliminating platform duplication and enabling single-developer maintenance. Built comprehensive API endpoints allowing mobile apps to leverage same underlying faceted search, filtering, and feeds as website. Incorporated web A/B testing learnings into mobile experimentation framework.", | |
"highlights": [ | |
"Consolidated separate iOS and Android codebases into unified React Native application, enabling single developer to manage both platforms", | |
"Designed and built API endpoints to unify mobile and web functionality, eliminating custom mobile-specific APIs that differed from website", | |
"Implemented shared faceted search, filtering, and feed systems between web and mobile platforms for consistent user experience", | |
"Incorporated A/B testing insights from web platform into mobile app experimentation framework, testing feed view information types and layouts", | |
"Added search suggestions functionality previously unavailable in mobile apps", | |
"Implemented complete faceted filtering options in mobile app, bringing feature parity with website", | |
"Significantly reduced development overhead and maintenance complexity through code consolidation and API unification" | |
], | |
"keywords": [ | |
"React Native", | |
"Mobile App Development", | |
"API Design", | |
"Cross-Platform Development", | |
"A/B Testing", | |
"Faceted Search", | |
"Code Consolidation", | |
"Platform Unification", | |
"Search Suggestions", | |
"Mobile UX" | |
] | |
}, | |
{ | |
"name": "Sailthru to HubSpot Email Migration & Optimization", | |
"startDate": "2020-01-01", | |
"endDate": "2020-08-01", | |
"summary": "Led strategic migration from Sailthru to HubSpot email platform, achieving $35,000/month cost savings while maintaining advanced personalization capabilities using HubSpot's programmable email functionality. Architected custom object system for offer management and developed optimized email templates that maximize content delivery within Gmail's rendering limits. Created sophisticated dynamic list segmentation for targeted user engagement.", | |
"highlights": [ | |
"Achieved $35,000/month cost savings by migrating from Sailthru to HubSpot while maintaining advanced email functionality", | |
"Architected custom HubSpot objects for offer management with automated CMS synchronization for real-time content updates", | |
"Developed optimized email templates using HubSpot's programmable email functionality to query custom objects and render dynamic content at send time", | |
"Optimized template rendering to maximize offer display within Gmail's email length limits before content truncation", | |
"Created comprehensive dynamic list system in HubSpot to segment users by engagement level (active, dormant, re-engagement targets)", | |
"Implemented automated workflows for list management, user lifecycle tracking, and targeted campaign delivery", | |
"Maintained personalization capabilities while significantly reducing operational costs and improving platform reliability" | |
], | |
"url": "https://knowledge.hubspot.com/marketing-email/create-programmable-emails", | |
"keywords": [ | |
"Platform Migration", | |
"HubSpot", | |
"Programmable Email", | |
"Custom Objects", | |
"Cost Optimization", | |
"Dynamic Lists", | |
"Template Optimization", | |
"Gmail Rendering", | |
"CMS Sync", | |
"Email Automation", | |
"User Segmentation" | |
] | |
}, | |
{ | |
"name": "Mobile Web Click-Through Rate Optimization", | |
"startDate": "2018-01-01", | |
"endDate": "2019-06-01", | |
"summary": "Developed and executed comprehensive mobile optimization strategy to address declining mobile performance as traffic shifted from desktop. Created custom grid layout using Optimizely for A/B testing, achieving breakthrough improvements in mobile click-through rates and revenue. Applied user insight that customers prefer evaluating offers on external landing pages before returning for coupon codes and deal instructions.", | |
"highlights": [ | |
"Developed custom grid layout using Optimizely for mobile web A/B testing, personally coding the experimental interface", | |
"Achieved 65% increase in Sales Leads (A vs B) during initial test phase", | |
"Post-rollout results: 108% YoY increase in Sales Leads, 125% YoY increase in Revenue, 120% YoY increase in Clicks Per Visit", | |
"Implemented temporary solution via Optimizely while engineering team built production version", | |
"Applied modified approach to mobile app (without grid layout) to minimize user experience disruption while maintaining conversion improvements", | |
"Identified key user behavior: customers evaluate offers on external landing pages before returning for coupon codes/instructions", | |
"Successfully addressed revenue threat from mobile traffic growth outpacing mobile conversion optimization" | |
], | |
"keywords": [ | |
"Mobile Optimization", | |
"A/B Testing", | |
"Optimizely", | |
"Custom Development", | |
"Click-Through Rate", | |
"User Behavior Analysis", | |
"Cross-Platform Strategy", | |
"Revenue Optimization" | |
] | |
}, | |
{ | |
"name": "Self-Serve Native Ad Portal for Amazon Sellers", | |
"startDate": "2022-01-01", | |
"endDate": "2023-06-01", | |
"summary": "Designed and implemented comprehensive self-serve advertising platform enabling Amazon sellers to create native ad units for DealNews web frontend. Built complete user journey from landing page tracking through account creation, credit management, CPC bidding system, and creative submission with team review workflow. Integrated with Pardot email automation platform and implemented credit-based ad spend management with CPC rate bidding that drives ad prioritization. Solution designed for reliability without requiring direct maintenance overhead.", | |
"highlights": [ | |
"Developed end-to-end user flow: landing page tracking → portal signup → account creation → credit addition → ad creative submission → team review → site placement", | |
"Integrated Pardot email automation platform for user onboarding and engagement workflows", | |
"Implemented credit-based ad spend management system with CPC bidding mechanism for ad prioritization", | |
"Designed reliable, low-maintenance solution reducing operational overhead for ad management", | |
"Created comprehensive user interface flow documentation and specifications" | |
], | |
"url": "https://drive.google.com/file/d/1FxypbkkBkkxYuZLggTfwzBX20uGvKmY2/view?usp=sharing", | |
"keywords": [ | |
"Self-Serve Platform", | |
"Native Advertising", | |
"Amazon Sellers", | |
"Pardot Integration", | |
"CPC Bidding", | |
"Credit Management", | |
"Ad Operations", | |
"User Flow Design", | |
"Email Automation" | |
] | |
}, | |
{ | |
"name": "AI-Powered Chrome Extension for Content Production", | |
"startDate": "2024-01-01", | |
"summary": "Currently developing a custom Chrome extension that applies AI to extract, interpret, and structure unstructured web data, transforming it into a CMS-ready format. Integrates with long-term content extraction system to provide real-time page access, circumventing bot detection and ensuring extraction matches user's actual page view. Uses same underlying AI processing to transform landing pages into publishable content.", | |
"keywords": [ | |
"AI", | |
"Chrome Extension", | |
"Content Automation", | |
"Web Data Extraction", | |
"Real-time Processing", | |
"Bot Detection Circumvention" | |
], | |
"description": "Built a Chrome extension that applies AI to enhance editorial workflows by extracting and structuring the data directly from what users see on the page. Editors can validate and refine outputs in real time, ensuring accuracy and trust. This approach avoids the inconsistencies of headless browser scraping and encouraged early adoption. Developed before the first AI-powered browsers were announced, the project continues to provide greater domain-specific capability than general-purpose solutions. It also delivers a unified interface, allowing our agents to interact with either a headless browser or a live browser through the same system. ", | |
"highlights": [ | |
"Human-in-the-Loop – Keeps users in control by presenting AI-generated extractions for review and adjustment before publishing.", | |
"Page-Aware Extraction – Reads directly from the visible browser content, ensuring consistency with what editors see and trust.", | |
"Workflow Integration – Speeds up repetitive steps while maintaining editorial judgment, ensures reliable data aligned with what users see, and exports structured outputs directly to CMS and backend systems.", | |
"Impact – Reduced manual data entry and formatting time while improving accuracy, built trust through transparency and user oversight, and created a foundation for gradual scaling of AI-driven support within editorial processes." | |
] | |
}, | |
{ | |
"name": "Mission Planner Interoperability Experiment", | |
"startDate": "2010-01-01", | |
"endDate": "2011-01-01", | |
"summary": "Led MDA's Mission Planner Interoperability Experiment including development of C2BMC Planner Adapter specifications, lab testing and modifications, and demonstration in The Netherlands with warfighters to help define future NATO-US planner interface requirements.", | |
"keywords": [ | |
"NATO Integration", | |
"Warfighter Systems", | |
"International Interoperability", | |
"C2BMC" | |
], | |
"description": "Directed the integration of the U.S. Missile Defense Planner with allied nations’ defense systems under the Joint Project Operation Windmill initiative. Led cross-national engineering teams to establish interoperability, data exchange protocols, and joint operational planning workflows between U.S. and partner nation defense infrastructures.", | |
"highlights": [] | |
}, | |
{ | |
"name": "Bitcoin Systems Architecture Analysis", | |
"startDate": "2014-01-01", | |
"endDate": "2015-03-31", | |
"summary": "Conducted comprehensive architectural assessment of Bitcoin using Systems Modeling Language (SysML), analyzing structure, functionality, and alignment with user expectations. Published in Procedia Computer Science.", | |
"url": "http://www.sciencedirect.com/science/article/pii/S1877050915003026", | |
"keywords": [ | |
"SysML", | |
"Cryptocurrency", | |
"System Architecture", | |
"Academic Research" | |
], | |
"description": "This paper offers a methodical architectural examination of Bitcoin using Systems Modeling Language (SysML) to map out its structure and behavior as a System of Systems (SoS). The analysis aims to clarify Bitcoin’s design, interactions, and systemic components—shedding light on how its decentralized ecosystem functions as more than just a cryptocurrency network.", | |
"highlights": [ | |
"Conceptualizes Bitcoin not as a standalone system, but as an interconnected SoS—incorporating nodes, peers, mining operations, and the broader network infrastructure within a unified architectural model.", | |
"Leverages the formalism of SysML to depict the structural layers and behavioral flows in Bitcoin’s ecosystem—making the design of its distributed ledger more comprehensible and analyzable.", | |
"By decomposing Bitcoin into subsystems, actors, and explicit interactions, the paper brings clarity to areas like transaction validation, consensus mechanisms, and network governance.", | |
"The modeling approach can serve as a reference for system architects, researchers, and developers interested in designing or evaluating similar decentralized, blockchain-based architectures." | |
] | |
}, | |
{ | |
"name": "Georgia Aquarium Systems Optimization", | |
"startDate": "2014-01-01", | |
"endDate": "2015-03-31", | |
"summary": "Used low-cost software solutions to perform trade space analyses with interactive, multi-domain models for Georgia Aquarium design space analysis and optimization. Published in Procedia Computer Science.", | |
"url": "http://www.sciencedirect.com/science/article/pii/S1877050915002379", | |
"keywords": [ | |
"Trade Space Analysis", | |
"Multi-domain Modeling", | |
"Systems Optimization" | |
], | |
"description": "This paper explores low-cost software approaches for performing design space analysis and optimization on the Georgia Aquarium’s Ocean Voyager exhibit—one of the world’s largest reef aquariums. The focus is on evaluating trade-offs efficiently to guide design and engineering decisions using accessible tools. ", | |
"highlights": [ | |
"Emphasizes using low-cost software solutions, meaning the methods applied are practical and affordable, without relying on expensive proprietary systems. ", | |
"Applies systematic trade-space analysis techniques to evaluate multiple design parameters—such as materials, spatial constraints, system performance metrics—to determine optimal configurations.", | |
"Integrates optimization frameworks to support decision-making—likely automating model evaluation and comparing design iterations efficiently.", | |
"Demonstrates that even highly complex engineering challenges—like designing mega-structures or massive exhibits—can benefit from agile, low-budget modeling and optimization workflows." | |
] | |
}, | |
{ | |
"name": "Android OS Modification and Porting", | |
"startDate": "2011-01-01", | |
"endDate": "2012-01-01", | |
"summary": "Modified, ported, and compiled the Android OS for electronic devices, involving Java programming, GIT version management system, Linux, and Linux kernel development.", | |
"keywords": [ | |
"Android", | |
"Java", | |
"Linux Kernel", | |
"Mobile OS", | |
"Git" | |
] | |
}, | |
{ | |
"name": "High Gain YAGI Antenna Design", | |
"startDate": "2008-01-01", | |
"endDate": "2009-01-01", | |
"summary": "Designed and constructed a high gain YAGI antenna for 2.4GHz (WiFi) spectrum with impedance matching network, demonstrating RF engineering and antenna design capabilities.", | |
"keywords": [ | |
"RF Engineering", | |
"Antenna Design", | |
"WiFi", | |
"Circuit Design" | |
] | |
}, | |
{ | |
"name": "GPS Dog Tracker (Senior Project)", | |
"startDate": "2008-01-01", | |
"endDate": "2009-01-01", | |
"summary": "Developed GPS tracking device involving microcontroller programming and antenna design as undergraduate senior project.", | |
"keywords": [ | |
"GPS", | |
"Microcontroller", | |
"Embedded Systems", | |
"Antenna Design" | |
] | |
}, | |
{ | |
"name": "Anaconda Notebook", | |
"startDate": "2015-02-28", | |
"endDate": "2015-02-28", | |
"summary": "A flexible, lightweight container for a web-based data science or scientific computing environment. Useful as a platform-independent, no configuration environment for analysis or teaching via IPython Notebooks.", | |
"url": "https://github.com/rothnic/anaconda-notebook", | |
"keywords": [ | |
"Data Science", | |
"IPython", | |
"Docker", | |
"Scientific Computing" | |
], | |
"description": "A Docker image that bundles a full Anaconda install, offering both a Jupyter (IPython 3) Notebook interface and terminal access—ideal for interactive Python work in a sandboxed, package-ready environment." | |
} | |
] | |
} |
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