Lance Chu
Machine Learning Engineer at Bridgewell Incorporated
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolLance Chu is a Machine Learning Engineer based in New Taipei, Taiwan, with eight years of hands-on experience building low-latency, large-scale ML systems for real-time bidding, computer vision, and medical imaging. He has driven end-to-end projects that cut compute by ~31%, boosted CTR/CPO and engagement metrics, and delivered highly optimized inference pipelines (Triton ensembles, latency-aware evaluation) for production at scale. Lance excels at data-centric solutions—designing efficient active-learning pipelines that match SOTA performance with 85% of the data and using semi-supervised methods to turn 125 labeled images into clinical-grade segmentation models. He pairs strong engineering (Argo, GitLab CI/CD, ETL for ≥1TB/day) with product collaboration to define novel strategies and metrics, and holds patents and a published OpenVINO white paper from his medical imaging work. Outside engineering he’s curious and creative—he enjoys thinking, singing, and traveling—and brings that same pragmatic creativity to solving hard ML deployment challenges.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Department of Mechanical and Electro-mechanical Engineering, Bachelor's degree, Department of Mechanical and Electro-mechanical Engineering at 國立中山大學Master's degree, Institute of Applied Mechanics (Machine Learning specialization), Master's degree, Institute of Applied Mechanics (Machine Learning specialization) at 國立臺灣大學
Github Skills (29)
early-stopping10
learning-rate10
warmup10
seed9
apex9
ruby8
javascript8
lists8
mortar8
pytorch7
iterative7
cross-validation7
multilabel-classification6
cuda5
scheduler5
Programming languages (1)
Github contributions (5)
Lance0218/ML100-Days
Dec 2018 - May 2019
Contributions:180 pushes, 1 branch in 5 months
Lance0218/Fatty-liver-classifier
Mar 2018 - Jul 2018
Contributions:91 commits, 73 pushes in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.