Philip Petrakian
AI Software Engineer at NVIDIA
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolPhilip Petrakian is an AI software engineer based in the San Francisco Bay Area with three years of industry experience building machine learning runtime and generative AI frameworks. He has progressed from embedded systems and autonomy internships to production ML infrastructure roles at Waymo, an AI entertainment lab (Odyssey), and now NVIDIA, reflecting deep experience in performance-sensitive systems and real-time generative workloads. Trained at Carnegie Mellon (BS/MS in Electrical and Computer Engineering), he blends low-level firmware and GPU performance optimization with higher-level ML runtime engineering. Notably, he has shipped kernel- and firmware-focused tooling at Apple and led cross-disciplinary projects integrating ROS, SOME/IP, and protobuf-based architectures in automotive contexts. Colleagues describe him as a pragmatic engineer who moves between research and production, specializing in making compute-intensive AI systems reliable and performant.
3 years of coding experience
7 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University
English, French
Github Skills (8)
neural-network10
machine-learning10
deep-learning10
tensorflow10
deep-neural-networks10
python10
data-science10
ml10
Programming languages (1)
Github contributions (1)
tensorflow/tensorflow
Sep 2022 - May 2023
An Open Source Machine Learning Framework for Everyone
Contributions:5 reviews, 5 comments in 8 months
pythondata-sciencedeep-learningmlmachine-learning
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