Grace Lam
Senior Generative AI Engineer
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGrace Lam is a Senior Generative AI Engineer in San Francisco with nine years of experience building production-ready ML systems and cutting-edge research models. Currently at NVIDIA working on Cosmos world foundation models, she previously drove data- and compute-efficient RL and uncertainty estimation for LLMs as a research lead at DeepMind. Grace combines a strong academic foundation from MIT and Stanford with hands-on productization experience—shipping Core ML models at Apple and production malware detection ensembles at Palo Alto Networks. Her background spans medical-vision research at MIT CSAIL to large-scale engineering contributions at Yahoo, reflecting a rare blend of theoretical rigor and systems-level optimization. Colleagues describe her as a pragmatic researcher who translates novel algorithms into scalable, impact-focused systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science and Engineering, Bachelor of Science (B.S.) Computer Science and Engineering at Massachusetts Institute of TechnologyLynbrook High SchoolMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Stanford University
English, Chinese, Chinese
Github Skills (31)
portable10
xgboost10
dataflow10
machine-learning10
java10
gradient10
boosting10
spark9
gbm9
gradient-boosting9
python9
scala9
distributed-systems9
server9
dask9
Programming languages (6)
Github contributions (5)
grace-lam/nlp-textbook-bias
Feb 2021 - Feb 2022
Contributions:54 pushes, 1 branch in 1 year
grace-lam/nn-visualization
Sep 2018 - May 2019
Contributions:9 pushes, 1 branch in 8 months
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