Igor Ganichev
Quantitative Researcher
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIgor Ganichev is a quantitative researcher based in Berkeley with 8 years of professional experience who joined a private hedge fund in 2020 after senior engineering roles at Google Brain/TensorFlow and VMware. He holds a PhD in Computer Science from UC Berkeley and dual BS degrees in Computer Science and Mathematics from MIT, bringing deep expertise in networking, compilers, and ML infrastructure. His career highlights include building NSX messaging architecture, creating TraceFlow and OpenFlow troubleshooting tools, and contributing scalable systems and runtime optimizations. That blend of low-level systems work and TensorFlow experience lets him bridge model development and production trading infrastructure. Colleagues describe him as a pragmatic engineer who turns complex distributed and compiler problems into reliable, production-ready tools.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, BerkeleyBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Massachusetts Institute of Technology
Github Skills (27)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
gpu8
hyperparameter7
statistics7
bayesian-methods7
optimization6
neural-networks6
probabilistic6
Programming languages (5)
Github contributions (5)
google/cog
Jul 2018 - Oct 2018
Contributions:6 commits, 5 pushes, 1 branch in 3 months
iganichev/scratch
Jan 2017 - Dec 2017
Contributions:7 pushes, 1 branch in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.