Kevin Le
Senior Machine Learning Engineer at American Express
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKevin Le is a Senior Machine Learning Engineer based in New York with nine years of experience building production-grade ML systems and MLOps at scale. At American Express he launched model-serving infrastructure handling 120+ TPS for international NLP models and led platform efforts—centralized registries, CI/CD, annotation services—that productionalized multiple models within months. His background blends academic research (UCSD MS, computer vision and anomaly detection for marine conservation) with applied engineering across PyTorch/ONNX, Triton, Seldon, MLflow and DVC, enabling both rapid experimentation and reliable deployment. Kevin is motivated by solving future-facing problems today and has a track record of turning research-grade models into business impact, from reducing hardware repair cycles at Google to protecting marine ecosystems with automated vision systems.
9 years of coding experience
7 years of employment as a software developer
Masters of Science (MS), Machine Learning & Data Science, Masters of Science (MS), Machine Learning & Data Science at University of California San DiegoBachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at University of California, San DiegoHigh School, High School at Wilcox High School
English, Vietnamese
Github Skills (70)
annotations10
datasets10
semantic-segmentation10
labeling9
bounding-box9
training-data9
computer-vision9
standardized9
label-studio9
image-classification9
label9
text-annotation9
text-labeling9
annotator9
data-labeling9
Programming languages (4)
Github contributions (5)
ktl014/plankton_wi17
Jan 2017 - May 2018
Contributions:5 PRs, 67 pushes, 7 branches in 1 year 3 months
hab-spc/LIVIS
May 2019 - Mar 2020
Lab In-Vitro Imaging System
Contributions:14 PRs, 43 pushes, 5 branches in 10 months
neuroimagingcomputer-visionimagingimage-registrationvitro
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.