Kuan-wei Huang
Senior Researcher at Fujitsu Research
California, United States
Summary
👤
Senior🎓
Top SchoolKuan-wei Huang is a senior researcher based in California with nine years of experience at the intersection of self-improving machine learning, LLMs, NLP, computer vision, and astrophysics. He holds a PhD in Physics from Carnegie Mellon and has a track record of academic and applied impact including multiple lead-author workshop papers at NeurIPS, ICML and ECCV and several first-author journal articles across classification, time series, and anomaly detection. As a founding AI engineer at an early-stage startup he helped steer LLM research into practical products, and now leads self-improving ML work in Fujitsu’s AI Lab. He brings uncommon breadth: rigorous theoretical and numerical simulation training from physics combined with production ML experience building forecasting pipelines at Capital One. Colleagues value him for turning deep research into deployable systems that continue to learn and improve in the wild.
9 years of coding experience
11 years of employment as a software developer
Master's degree Physics, Master's degree Physics at National Taiwan UniversityDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Carnegie Mellon University
English, Chinese, Mandarin
Github Skills (24)
facebook7
sequence7
ctc6
python6
pytorch6
cosmology6
nlp5
natural-language-processing5
machine-learning5
simulator5
artificial-intelligence5
simulation5
parallel4
planet4
sequence-to-sequence4
Programming languages (4)
Github contributions (5)
kuanweih/KDE-Detector
Sep 2018 - Nov 2019
KDE for 2D observational data
Contributions:76 PRs, 207 pushes, 41 branches in 1 year 2 months
kde
kuanweih/strong_lensing_vit_resnet
Apr 2022 - Aug 2022
Contributions:122 commits, 2 pushes, 2 comments in 4 months
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