Summary
Jingyue Shen is a research engineer based in California with nine years of experience building and optimizing large-scale ML systems, particularly LLMs for code, recommender systems, graph embedding, NLP, and distributed systems. She has moved from research and infrastructure roles at Google—contributing to Gemini-Pro-0514, CodeGemma, a filed patent for code completion, and on-device foundation models—to her current role at Meta focused on Llama for Code. Her background blends deep research (UCLA MS) and production engineering, with early work in multi-agent RL, grammar induction, and high-performance C++ libraries for And-Or Graphs and MCTS. Jingyue is adept at the full ML lifecycle—data, post-training, evaluation, optimization, and serving—and brings a practical research mindset that often translates prototype advances into production-quality systems.
9 years of coding experience
6 years of employment as a software developer
Hangzhou Xuejun High School
University of California, Los Angeles
Chinese, English