Sean Farhat
Software Engineer at NVIDIA
United States
Summary
👤
Senior🎓
Top SchoolSean Farhat is a software engineer with nine years of experience specializing in ML and performance-oriented systems, currently contributing to NVIDIA's TAO Toolkit. He combines academic rigor from a UC Berkeley EECS B.S. and an MS from UIUC with hands-on industry experience at Apple and Accenture Research, focusing on model efficiency, hardware-aware optimization, and low-power inference. Sean has a strong teaching background—award-winning CS instructor and course designer—which complements his research on maximizing small-model performance. He has built end-to-end ML systems for resource-constrained platforms (from autonomous RC cars to robot digital twins) and enjoys translating complex mathematical optimizations into production-ready tooling. Outside of work he maintains an up-to-date technical portfolio online, reflecting both his research and practical engineering projects.
9 years of coding experience
2 years of employment as a software developer
B.S., Electrical Engineering and Computer Science, B.S., Electrical Engineering and Computer Science at University of California, BerkeleyCorona del Mar High SchoolMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (4)
Github contributions (5)
sfarhat/sfarhat.github.io
Apr 2017 - Aug 2021
My personal website that's always in development...
Contributions:2 PRs, 32 pushes, 5 branches in 4 years 5 months
reactnextjstypescript
sfarhat/neural-style-transfer
Jul 2020 - Aug 2022
Implementation of Neural Style Transfer for Artistic Images by Gatys et. al
Contributions:1 PR, 2 pushes in 2 years 1 month
pytorchstyle-transferdeep-learningartisticneural-style
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