Grace Tian
Software Engineer, Machine Learning at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGrace Tian is a machine learning engineer with eight years of experience specializing in NLP, LLMs, and speech systems, currently building ML infrastructure at Meta. A Harvard CS & Statistics graduate, she has shipped production models and serving pipelines—ranging from fine-tuned multi-turn chatbots and sentiment classifiers to speech-to-text transcription and Triton-hosted deployments. Her background blends academic research in differential privacy and applied ML (ICML and NeurIPS workshop contributions) with hands-on engineering at startups and hyperscalers, giving her fluency across model development, deployment, and inference optimization. Notably, she has a track record of simplifying complex privacy verification workflows and accelerating serving infrastructure, reflecting both rigorous theory roots and pragmatic production impact.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science and Statistics, Bachelor's degree Computer Science and Statistics at Harvard UniversityHigh School Diploma, High School Diploma at The Wellington School
Github Skills (5)
editing5
differential-privacy5
privacy3
privacy-preserving3
data-protection2
Programming languages (5)
Github contributions (5)
gracetian6/quant
Aug 2020 - Aug 2021
Contributions:157 pushes, 1 branch in 1 year
googleinterns/step99-2020
Jun 2020 - Aug 2020
Contributions:284 commits, 39 PRs, 195 pushes in 1 month
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