James Wu
Machine Learning Engineer at Bloomberg
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJames Wu is a software engineer with nine years of hands-on experience building reliable, production-ready systems, currently focused on security and compliance at Vanta. He has strong machine learning exposure from work at Bloomberg and UCLA’s Scalable Analytics Institute, where he evaluated major LLMs and built data pipelines to benchmark model performance on academic problems. James combines full-stack product experience—from mobile apps and MERN workshops to automated end-to-end QA—and has shipped features that improved network reliability and binary security tooling during internships at Arista and GrammaTech. A mentor and leader in the UCLA ACM community, he has led workshops, run club operations, and managed cross-functional teams while maintaining a 3.85 CS degree. Known for bridging research and product, he often surfaces practical tooling to make model evaluation and security analysis repeatable.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree (with 16 Month Internship) Engineering Science (Robotics Specialisation), Bachelor’s Degree (with 16 Month Internship) Engineering Science (Robotics Specialisation) at University of TorontoUniversity College London
Github Skills (9)
biomedical-named-entity-recognition9
biomedical-text-mining9
bioinformatics7
kernel7
information-extraction6
machine-learning4
deep-learning4
jax4
spacy3
Programming languages (2)
Github contributions (5)
jswu18/projected-langevin-sampling
Oct 2023 - Jul 2026
Implementations for "Near-Optimal Approximations for Bayesian Inference in Function Space"
Contributions:2 PRs, 45 pushes, 2 branches in 2 years 8 months
jswu18/distribution-discrepancies
Aug 2022 - Jan 2023
Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
Contributions:59 commits, 20 PRs, 58 pushes in 5 months
kernelmaximum-mean-discrepancymmdkernel-stein-discrepancyksd
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