Kostya K is a seasoned engineering leader with 11 years of experience building ML developer tooling and infrastructure, currently a Member of Technical Staff in an AI training organization in New York. Previously an Engineering Manager at Meta, he led teams that improved ML training iteration speed, testing and release tooling, model-quality diagnostics, and feature-pipeline infrastructure across GenAI, Ads, IG, and Feed. He was the tech lead for Ax, the open-source adaptive experimentation platform, and has hands-on full‑stack and backend contributions to well-known projects such as Ax and Facebook’s PlanOut, where he fixed core compiler and parsing issues. Kostya combines a strong academic foundation—a PhD in Government and advanced statistics training from Harvard—with practical experience shipping reliable, production-grade systems for experimentation and ML observability. Colleagues rely on him for bridging causal-inference research and scalable engineering, and he brings an uncommon mix of scholarly rigor and deployment-focused pragmatism to developer-facing ML platforms.
11 years of coding experience
11 years of employment as a software developer
Bachelor's Degree Economics, Bachelor's Degree Economics at Brown University
Doctor of Philosophy (Ph.D.) Government, Doctor of Philosophy (Ph.D.) Government at Harvard University
PlanOut is a library and interpreter for designing online experiments.
Role in this project:
Back-end Developer
Contributions:22 commits, 14 PRs, 9 pushes in 3 years 8 months
Contributions summary:Konstantin primarily focused on enhancing the PlanOut compiler and interpreter. Their contributions included fixing parsing issues related to operator precedence and regex matching for negative numbers. They made changes to the codebase by fixing bugs, including a bug with how minus operator worked. They also improved the system's robustness by fixing comment handling.
Contributions:27 commits, 12 PRs, 19 pushes in 5 months
Contributions summary:Konstantin contributed to the development and maintenance of the Ax adaptive experimentation platform, working across both the frontend and backend. They made site-related fixes, including link corrections and content updates, and added Google Analytics integration. Furthermore, they updated the styling of the Sphinx documentation and implemented a version selector on the Ax site. The user also developed scripts for building and deploying versioned sites, demonstrating proficiency in build automation and deployment processes.
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