Humza Iqbal

Applied Research Scientist at Snorkel AI

Mill Valley, California, United States
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Summary

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Humza Iqbal is an Applied Research Scientist with 11 years of experience building and applying machine learning and deep learning systems across startups and research labs. Based in Mill Valley, he currently researches at Snorkel AI, following data-science and privacy-focused engineering at SECURITI.ai and internships at NVIDIA and UC Berkeley. He has a strong practical background in ML education and tooling—co-teaching ML courses, advising projects, and contributing to reinforcement learning and motion-analysis research during his time at Berkeley. Humza blends hands-on model development with product-minded deployment, particularly in privacy and security contexts, and is comfortable working across the stack from prototype research to production-ready systems. An early pattern in his career is translating academic ML advances into practical solutions for compliance, healthcare, and gaming domains.
code11 years of coding experience
job4 years of employment as a software developer
bookBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of California, Berkeley
bookTamalpais High School
languagesEnglish
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Stackoverflow

Stats
1reputation
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0questions
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Github Skills (108)

parallel10
python10
snorkel10
hyperparameter-optimization10
deep-learning10
automl10
ray10
zero-shot-classification10
optimization10
labeling10
training-data10
llm-inference10
ai10
computer-vision10
visual-question-answering10

Programming languages (7)

JavaShellC++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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mlberkeley/PyTorch-Workshop

Oct 2017 - Feb 2018

Contributions:12 commits, 11 pushes, 1 branch in 3 months
Contributions:2 pushes, 1 branch in 2 years 6 months
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