Harvineet Singh

Machine Learning Scientist at Qualified Health

San Francisco, California, United States
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Summary

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Senior
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Top School
Harvineet Singh is a Machine Learning Scientist with 11 years of experience combining rigorous academic research (Ph.D. in Data Science from NYU) and industry impact across Adobe, Microsoft Research, Amazon Science, and UCSF. He specializes in responsible ML, causal inference, and robust AI systems, and has led efforts to monitor deployed models, diagnose failures, and benchmark fairness at scale. His work bridges theory and production—building predictive systems for advertising and marketing early in his career and later developing evaluation frameworks for clinical ML. Recognized as a Future Leader in Responsible Data Science and a research fellow at Harvard, he also serves in community leadership roles such as General Chair for the Machine Learning for Health Symposium. Based in San Francisco, he brings a rare blend of hands-on system deployment experience, publications and patents, and practical methods for trustworthy model monitoring.
code11 years of coding experience
job8 years of employment as a software developer
bookIndian Institute of Technology Delhi (IIT Delhi)
bookDoctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at New York University
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Github Skills (26)

gaussian10
slack-bot9
gaussian-processes9
stochastic-processes9
fairness-ml8
factor-analysis8
pytorch8
modular7
factor7
gpu-acceleration6
chat6
slack6
machine-learning6
python6
artificial-intelligence6

Programming languages (5)

RHTMLJupyter NotebookRubyPython

Github contributions (5)

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Contributions:15 pushes in 5 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
harvineet/py-gpfa

Oct 2018 - Jan 2021

Python implementation of Gaussian Process Factor Analysis
Contributions:63 commits, 2 PRs, 34 pushes in 2 years 3 months
pythonpython-implementationfactorfactor-analysisgaussian
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Harvineet Singh - Machine Learning Scientist at Qualified Health