Pei Is
Applied Scientist at Amazon
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolPei Chen is an Applied Scientist at Amazon with eight years of experience specializing in context-aware LLM post-training and verifiable rubric-based evaluation for agentic systems at scale. She designs and deploys end-to-end post-training data flywheels—live-traffic failure mining, automated root-cause analysis, and difficulty-aware selection—that have been adopted across teams and power 100B+ MoE backbones. Her research spans long-context modeling, RAG, personalization, multi-turn consistency, and GRPO-driven human-alignment, backed by 20+ publications including a NeurIPS Spotlight and a US patent. Comfortable moving models from research to production, she has hands-on expertise in continual pre-training, SFT, DPO, and stack tooling such as Megatron and Verl/Slime. Based in the Bay Area with a Ph.D. from Texas A&M, she also mentors junior researchers and translates rubric-driven evaluation into measurable RL optimization gains.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Finance, General, Master's degree, Finance, General at Southwestern University of Finance and EconomicsPh.D., Computer Science, Ph.D., Computer Science at Texas A&M UniversityBachelor of Engineering - BE, Modeling, Virtual Environments and Simulation, Bachelor of Engineering - BE, Modeling, Virtual Environments and Simulation at National University of Defense Technology
Github Skills (70)
word-embeddings10
face9
biomedical-text-mining9
nlp9
pose9
named-entity-recognition9
language-processing9
simple-framework9
sequence-labeling9
mining8
caffe8
multiagent-systems8
self-attention8
machine-vision8
attention-mechanism8
Programming languages (3)
Github contributions (5)
brickee/HarveyNER
Sep 2021 - Nov 2022
Contributions:11 commits, 5 pushes in 1 year 1 month
brickee/FinReason
Mar 2021 - Nov 2022
Contributions:5 commits, 4 pushes, 1 branch in 1 year 7 months
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