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Nikolay Dubina

[email protected] https://github.com/nikolaydubina https://www.linkedin.com/in/nikolaydubina

Skills

  • Go, Python, Swift, C
  • GCP: GKE, BigQuery, PubSub, Firestore, App Engine, Cloud Storage, VertexAI
  • AWS: EKS, EC2, λ, SQS, SNS, Kinesis, Athena, EMR, SageMaker, S3, RDS, DynamoDB
  • Prometheus, Grafana, OpenTelemetry

briefly worked with: Rust, Julia, Boost C++, LLVM, OpenMP, CUDA, Scala, Java Spring, Racket, Scheme, Lisp, Forth

Experience

NDX

Senior Software Engineer, Founder Apr 2024 ~ present, HK

  • https://ndx.one
  • k8s cluster, Go, iOS Swift app, <1ms statistical spatial db, integrity, payment, auth, ai inference in GCP

Motional

Senior Software Engineer, Data Platform Jan 2024 ~ Apr 2024, SG

  • peta-scale data infrastructure for autonomous vehicles in Python, C++, Go
  • state-of-the-art stream processing algorithms in Go on k8s

Zetta.ai

Senior Software Engineer Dec 2023 ~ Feb 2024, US, Remote, Contract

  • peta-scale state-of-the-art neuroscience software
  • ground-up backend in Go + k8s cluster + frontend in Angular, GCP Firestore and App Engine

DeliveryHero

Senior Software Engineer, Payments Aug 2020 ~ Jan 2024, SG

  • built core backend payment systems handling 100% of revenue, 10s of millions USD/day, 10s of millions of users in 10+ countries
  • architecture, development, operations of backend in Go on k8s, MySQL, Redis, AWS SQS, EKS, S3, Terraform, DroneCI, NewRelic, Datadog
  • mentored interns and new hires, led projects of 20+ people, conducted 200+ interviews
  • promoted after one year to next level
  • two years of oncall shifts on Tier 1

Funding Societies

Software Engineer, Platform Jan 2020 ~ Aug 2020, SG

  • maintained Kong API Gateway, stream processing services, upstream open source bug fixes in Go, Python, Node, Lua on ECS, PostreSQL in AWS
  • setup monitoring and automation on CircleCI, Datadog, Lambda

Balancehero

Lead Data Science and Engineering, Core Data Aug 2018 ~ Jan 2020, Seoul, KR

  • built alternative credit scoring model serving 200+ million people and operated it for 8+ months with industry standards
  • built batch data pipelines for feature processing, training, inference, evaluation, feature store, analytics in Spark, Python, Airflow, AWS EMR, Athena
  • built inference REST service in Python + Sagemaker
  • built data visualization for research and operational metrics in Airflow, H3, plotly, Tableau, Jenkins
  • built algorithms for efficient single node data processing in Python + joblib
  • built action rate predictive model, optimized promotion campaigns with A/B tests
  • researched state-of-the-art machine learning for credit scoring

Facebook

IC4 Software Engineer, Commerce Platform Aug 2016 ~ Aug 2018, London, GB

  • built commerce taxonomy classifier handling 100s of millions of samples producing 15K+ classes based on tabular, text, images data
  • built pixel based catalog creation; catalog feed rules; internal tools for debugging; and conducted research on elections integrity
  • development of backend (Hack, GraphAPI), frontend (React), offline and real-time data pipelines (Python, Scuba, Ent, Presto)
  • taught onboarding class on frontend, mentored new hires
  • promoted after one year to next level
  • oncall shifts
  • thousands of businesses relied on integrations I built

Facebook

Software Engineering Intern, Internal Tools May 2015 ~ Sep 2015, Menlo Park, US

  • refactored backend and frontend for internal legacy tools
  • made security enhancements for internal tools web-stack, Mercurial

Enswers

Software Engineering Intern, Infra Jan 2014 ~ Mar 2014, Seoul, KR

  • optimized in-memory data structures for better CPU cache performance and lower working set size in C++
  • improved tooling for low level C++ profiling and testing

Education

BSc. Computer Science KAIST (Korea Advanced Institute of Science and Technology) 2012 ~ 2016, Daejeon, KR

Professional Societies

  • Founding Member, Open Neuroscience Foundation, 2024 - present (tools development in Rust)

Certifications

Open Source

trending on GitHub multiple times in 2024/2025

What I Have Read on Software

  • All of Clean Code series: Clean Coder, Clean Code, Clean Architecture, Clean Craftsmarnship, Robert.C.Martin, Addison-Wesley
  • Refactoring series: Refactoring; Refactoring Database;, Addison-Wesley
  • The Linux Programming Interface, Addison-Wesley
  • DNS and Bind, IPv6, CoreDNS, O'Reilly
  • Strategic Monoliths and Microservices, Addison-Wesley
  • Patterns for API Design, Addison-Wesley
  • Visual Models for Software Requirements, Microsoft, Addison-Wesley
  • Domain Storytelling, Addison-Wesley
  • Continuous Architecture in Practice, Addison-Wesley
  • DAMA-DMBOOK: Data Management Body of Knowledge
  • Learn Grafana 7.0, Packt
  • Hands-On Infrastructure Monitoring with Prometheus, Packt
  • Prometheus Up & Running, O'Reilly
  • CKA Study Guide; CKAD Study Guide, O'Reilly
  • Code That Fits in Your Head, Robert.C.Martin
  • Software Engineering at Google, O'Reilly
  • How Google Tests Software, Addison-Wesley
  • Understanding Software Dynamics, Addison-Wesley
  • Terraform: Up and Running, O'Reilly
  • HashiCorp Infrastructure Automation Certification Guide, Packt
  • Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation, Addison-Wesley
  • Software Architecture: The Hard Parts: Modern Tradeoff Analysis for Distributed Architectures, O'Reilly
  • Modern Software Engineering: Doing What Works to Build Better Software Faster, Addison-Wesley
  • Design It!: From Programmer to Software Architect, Pragmatic Programmers
  • Kubernetes Up and Running, O'Reilly
  • gRPC Up and Running, O'Reilly
  • Systems Performance, Addison-Wesley
  • Working Effectively with Legacy Code, Michael C.Feathers
  • Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS, Addison-Wesley
  • Large-Scale C++ Volume I: Process and Architecture, Addison-Wesley
  • Domain-Driven Design Quickly, Infoq
  • The Hundred-Page Machine Learning Book
  • Machine Learning in Production, Addison-Wesley
  • Gnu Make Reference Manual, Richard Stallman
  • Pro Git
  • Mastering PostgreSQL 12, Packt
  • Modern Data Mining Algorithms in C++ and CUDA C
  • The Art of UNIX Programming, Addison-Wesley
  • BPF Performance Tools, Addison-Wesley
  • Advanced Programming in the UNIX Environment, Addison-Wesley
  • Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley
  • Designing Distributed Systems, O'Reilly
  • The Go Programming Language, Addison-Wesley
  • Cloud Native Infrastructure, O'Reilly
  • Site Reliability Engineering: How Google Runs Production Systems, O'Reilly
  • The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
  • Designing Data-Intensive Applications, O'Reilly
  • ... and many more

What I Have Read on Neuroscience

  • Principles of Neurobiology, Liqun Luo
  • Principles of Neural Science, Eric R. Kandel
  • Fundamental Neuroscience, Larry R. Squire
  • From Neuron to Cognition via Computational Neuroscience, Michael A.Arbib
  • Brain-Computer Interface Research: A State-Of-The-Art Summary, Christoph Guger, Springer
  • Neuroscience of Mathematical Cognitive Development, Rhonda Douglas Brown, Springer
  • Emergent Brain Dynamics: Prebirth to Adolescence, April Benasich, Strüngmann Forum
  • Translational Neuroscience: Toward New Therapies, Karoly Nikolich, Strüngmann Forum
  • The Neocortex, Wolf Singer, Strüngmann Forum
  • Connectome: How the Brain's Wiring Makes Us Who We Are, Sebastian Seung
  • Changing Connectomes, Marcus Kaiser, MIT Press
  • Brain Computation as Hierarchical Abstraction, Dana H. Ballard, MIT Press
  • All of Oliver Sacks books, Oliver Sacks
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