Ken Zeng
Founding Machine Learning Research Engineer at Ataraxis AI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKen Zeng is a founding machine learning research engineer and NYU Data Science master's candidate with eight years of experience applying deep learning and data engineering to high-impact domains like medical diagnostics and workforce analytics. He has built transformer-based NER models in PyTorch on HPC for pathology reports and now leads development of AI-native breast cancer tests at Ataraxis AI. His background spans end-to-end pipelines—from Spark and Redshift data workflows to automated image classification processing 35k+ images—reflecting both research rigor and production-minded engineering. Comfortable in interdisciplinary teams, he pairs a strong theoretical foundation in mathematics and statistics with hands-on implementation of scalable ML systems. An underrated strength is his track record of turning curated, messy clinical data into performant models, a skill honed through close collaboration with domain experts.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, 4.0, Master of Science - MS, Data Science, 4.0 at New York UniversityBachelor's degree, MATHEMATICS AND STATISTICS, Bachelor's degree, MATHEMATICS AND STATISTICS at Rice University
Github Skills (31)
kaggle10
computation10
classification10
data-mining10
regression10
r9
coreml9
catboost9
java9
gradient-boosting9
gradient9
python9
machine-learning9
cpu9
gpu9
Programming languages (5)
Github contributions (5)
kenzeng24/social-network-url-clustering
Sep 2022 - Nov 2022
Contributions:2 reviews, 40 commits, 6 PRs in 2 months
kenzeng24/personal-website
Aug 2021 - Feb 2025
Contributions:24 pushes, 1 branch, 1 comment in 3 years 6 months
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