Ian Quah
Intern at OpenMined
Long Beach, California, United States
Summary
👤
Senior🎓
Top SchoolIan Quah is an experienced machine learning engineer and researcher with 11 years in industry and open-source work, currently interning at Duality Technologies while volunteering as a Research Engineer at OpenMined and advising startups as an ML consultant. His technical focus spans privacy-preserving ML — including homomorphic encryption, secure multiparty computation, and federated learning — with hands-on contributions to PALISADE and TenSEAL integrations via C++, Python, and bindings work. Ian has led production-oriented ML engineering efforts that dramatically reduced compute and latency at scale, and he pairs that with academic rigor from Carnegie Mellon and PhD-level research experience at the University of Washington. He mentors junior engineers, runs cross-functional product discovery, and even finds time to explore group theory and experiment in the kitchen, reflecting a blend of deep technical curiosity and practical impact.
11 years of coding experience
4 years of employment as a software developer
B.s Cognitive Science, Machine Learning & Artificial Intelligence, B.s Cognitive Science, Machine Learning & Artificial Intelligence at Carnegie Mellon University
Malay, Russian, French, English
Stackoverflow
1,905reputation
121kreached
81answers
44questions
Github Skills (200)
powerline10
vim10
secure-computation10
neural-network10
data-science10
jira10
deep-neural-networks10
cryptography10
python10
spotify-api10
ml10
tmux-configuration10
tty10
r-package10
tensorflow10
Programming languages (17)
Github contributions (5)
IanQS/dotfiles
Mar 2024 - Mar 2025
Contributions:70 pushes, 3 branches in 1 year 1 month
IanQS/pTensor
Jan 2021 - Jul 2022
A numpy-like wrapper around PALISADE library for the intersection of Homomorphic Encryption and Machine Learning
Contributions:12 PRs, 17 pushes, 14 branches in 1 year 6 months
pythonnumpymachine-learninghomomorphic-encryptionencryption
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