Hao-wei Lee
Senior ML Ops Engineer at 彭博資訊
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolHao-wei Lee is a Senior ML Ops Engineer with 12 years of experience building scalable ML and NLP systems across startups and hyperscale tech, currently leading AskB DSX at 彭博資訊 in the New York metro area. He has deep expertise in distributed PyTorch training, multimedia data loading, LLM ranking and inference, and production microservices for high-throughput NLP deployments from roles at Meta, Nylas, and Paytm Labs. Hao-wei combines strong data engineering skills (Spark, PySpark, Scala, Kubeflow) with practical monitoring and troubleshooting frameworks that keep models healthy in production. He started his career applying signal and subspace learning in research and taught machine learning at the University of Toronto, bringing both theoretical rigor and hands-on systems design. Notably, he has repeatedly moved research-grade models into robust microservice architectures that scale to large enterprise traffic patterns.
11 years of coding experience
8 years of employment as a software developer
Master of Science in Applied Computing (M.Sc.Ac.), Master of Science in Applied Computing (M.Sc.Ac.) at University of TorontoBachelor, Electrical Engineering, Bachelor, Electrical Engineering at National Tsing Hua University
Chinese, English
Github Skills (15)
flashlight9
python-bindings9
api-platform7
api7
cpp7
deep-learning6
machine-learning6
python5
neural-network5
ml3
autograd2
segmentation2
image-segmentation2
keras2
tensorflow1
Programming languages (2)
Github contributions (5)
egginsect/dynamicpower
Jun 2014 - Nov 2016
Contributions:18 commits, 2 pushes in 2 years 5 months
egginsect/transformdiscovery
Oct 2015 - Jul 2016
Contributions:73 pushes, 13 branches in 9 months
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