Yu Lu is a founding research engineer and former co-founder/CTO who builds production-grade ML systems that bridge research and product. He led development and deployment of a cursor-level next-edit autocomplete shipped for JetBrains IDEs, training models with synthetic GitHub edit trajectories and RL to boost quality, and serving 500k autocompletes/day with <100ms e2e latency across three continents. At Datacurve he now runs the SWE RL environment pipeline used by tier‑1 labs and drove contract expansion through QA and throughput improvements. A Waterloo CS dropout with a Math Olympiad top‑50 background, he balances rigorous problem-solving with rapid product iteration—shipping a 25% PR merge-rate coding agent early in Sweep’s life and later pivoting to the dominant JetBrains plugin. He open-sourced model weights and writes about SFT & RL training, grounding his engineering in reproducible research and practical inference engineering.
7 years of coding experience
1 year of employment as a software developer
IB Diploma None, IB Diploma None at Winston Churchill High School
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Waterloo
Contributions:41 reviews, 74 PRs, 136 pushes in 1 year 1 month
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