Alex Golec is a Senior Staff Engineer and seasoned software leader with 9 years of experience building distributed systems for AI/ML, computational mathematics, and high-throughput model serving. He has led teams at Netflix, Patreon, and Reddit designing low-latency, GPU-accelerated inference platforms, real-time feature pipelines, and experimentation infrastructure that power ranking, personalization, and LLM workloads. At Netflix he managed cross-cutting model serving frameworks and cluster orchestration for production-scale ML, and his background at Google includes designing revenue-driving automated bidding algorithms and massive distributed data processing. He's an active open-source contributor (notably to a robust TD Ameritrade Python API) and combines deep quantitative instincts with hands-on backend engineering. Now focused on stopping social engineering attacks at Doppel, he brings both product-minded leadership and a math-heavy CS foundation from Columbia and Fordham. Colleagues describe him as someone who marries rigorous experiment design with pragmatic platform engineering to ship reliable, measurable ML systems.
9 years of coding experience
13 years of employment as a software developer
Bachelor of Science Cum Laude Computer Science, Bachelor of Science Cum Laude Computer Science at Columbia Engineering
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Fordham University
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
Role in this project:
Back-end Developer
Contributions:49 releases, 14 reviews, 395 commits in 2 years 9 months
Contributions summary:Alex made significant contributions to the `tda-api` repository, developing core functionalities for interacting with the TD Ameritrade API. The contributions involved implementing API wrappers for account information, option chains, news headlines, and various time-of-sale streams using Python. Furthermore, the user demonstrated an understanding of REST API design and OAuth2 authentication by implementing features related to orders and streaming data.
Code for interview problems I describe in my ongoing Medium series.
Contributions:12 commits, 1 PR, 11 pushes in 2 years 7 months
describeongoingproblemsmachine-learningmedium
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