Yee Chan
AI Scientist at AvodahMed™
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolYee Chan is an AI Scientist based in Boston with over a decade of hands-on expertise in deep learning NLP and LLM-based solutions, ranging from information extraction to end-to-end RAG and model customization. He has led multi-million dollar programs as a principal investigator and engineering lead at Raytheon BBN and built the group’s flagship deep learning NLP system that became the backbone of numerous production and research efforts. In industry roles he has shipped practical, high-impact products—improving enterprise search, automated taxonomy mapping, and cybersecurity information extraction—often winning praise from government and corporate clients. Yee combines research pedigree (postdoc work with publications at ACL/EMNLP/CoNLL) with startup agility, recently developing transformer-based prototypes and GPT-3.5 solutions for dynamic content generation. He’s known for translating cutting-edge research into deployable systems and for mentoring teams to replicate competitive, award-winning NLP results. A less obvious strength is his track record of inventing bespoke losses and tooling early in the deep-learning era, showing a willingness to implement low-level innovations when needed.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore
Github Skills (5)
ontologies9
assembly5
modeling-tool2
machine-learning1
tensorflow1
Programming languages (2)
Github contributions (5)
chanys/chanys.github.io
Mar 2023 - Apr 2024
Build a Jekyll blog in minutes, without touching the command line.
Contributions:217 pushes in 1 year 1 month
chanys/mlops
Mar 2023 - Apr 2023
Contributions:24 pushes, 1 branch in 7 days
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