Keyan Nasseri
Software Engineer at Google
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolKeyan Nasseri is a software engineer with seven years of experience building large-scale systems, currently contributing to Google's Search Platforms team in the New York City area. He blends production engineering at Google with research rigor from an MS and BA in EECS/CS at UC Berkeley, where he worked on interpretable machine learning under Bin Yu. His background includes hands-on internships in distributed training with TensorFlow and data engineering at Wealthfront, reflecting strengths in distributed systems and ML infrastructure. Keyan moves comfortably between research and production code, turning interpretability insights into reliable, scalable implementations. He brings a curiosity for bridging academic ideas and engineering constraints, often favoring explainable solutions in complex search and training pipelines.
7 years of coding experience
2 years of employment as a software developer
BA Computer Science, BA Computer Science at University of California, BerkeleyMS Electrical Engineering and Computer Sciences, MS Electrical Engineering and Computer Sciences at UC Berkeley College of Engineering
Github Skills (43)
xai10
artificial-intelligence10
python10
data-science10
classification10
lime10
machine-learning10
statistics10
iml10
sklearn10
predictive-modeling10
predictive10
ai10
supervised-learning10
cross-validation10
Programming languages (4)
Github contributions (5)
keyan3/GeneralizedOptimalSparseDecisionTrees
Nov 2021 - Feb 2022
Generalized Optimal Sparse Decision Trees
Contributions:1 release, 4 PRs, 34 pushes in 3 months
decisionfactorizationsparsedecision-treesmachine-learning
keyan3/meta-learning
Dec 2020 - Dec 2020
Contributions:15 commits, 14 pushes, 3 branches in 8 days
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