Zachary Patel
Senior Deep Learning Architect at NVIDIA
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolZachary Patel is a Senior Deep Learning Architect at NVIDIA with nine years of experience specializing in training and inference performance for neural networks and LLMs. He builds toolchains for DL performance estimation, leads deep-dive workload analyses, and designs automation and CI/CD systems that guide current hardware use and future device design. A UC Berkeley computer science and data science alumnus, he blends academic teaching experience with applied research from multiple NVIDIA roles, including impactful internship work that scaled into production-facing tooling. Known for combining rigorous measurement with practical engineering, he has also delivered bespoke ML solutions as a consultant for Bay Area companies. Based in San Francisco, he focuses on inference benchmarking and projection modeling—bringing an engineer’s curiosity to both micro-optimizations and long-term architecture decisions.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science & Data Science, GPA 3.6, Bachelor's degree, Computer Science & Data Science, GPA 3.6 at University of California, BerkeleyRedwood High School
Spanish
Github Skills (4)
fsm-library7
wave7
chisel4
python4
Programming languages (3)
Github contributions (5)
zbpatel/DataHonorsThesis
Oct 2019 - May 2020
Contributions:20 pushes, 1 branch in 6 months
zbpatel/AlexaCalFacts
Feb 2017 - Sep 2017
Contributions:2 pushes, 1 branch in 6 months
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