Peter Lillian
Founder at Stealth Startup
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPeter Lillian is a founder and machine learning engineer with a decade of experience building ML systems from research prototypes to hardware-accelerated production workloads. Based in San Francisco, he has led hardware ML research on FPGA-based neuroevolution and scaled training and inference across GroqChips, with hands-on expertise in quantization (QAT/PTQ), reinforcement learning, and evolutionary algorithms. He founded two startups—one that staged B2B online trade shows and a stealth startup launched in 2024—demonstrating a pattern of turning research insight into product. His academic work includes leading a team to evolve FPGA architectures as universal function approximators and publishing ML/robotics research, reflecting a rare blend of neuroscience-inspired theory and systems-level engineering. Collected skills span neural networks, neuroevolution, hardware acceleration, and customer-facing model optimization for latency and throughput.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Electrical Engineering Machine Learning, Master of Science - MS Electrical Engineering Machine Learning at University of Southern California
Stackoverflow
13reputation
3kreached
0answers
3questions
Github Skills (70)
neat10
neuroevolution9
pytorch9
reinforcement-learning9
tensorflow9
google-keep8
hyper8
logger8
tmx7
javascript7
linux7
python7
fpga7
viewport7
css7
Programming languages (8)
Github contributions (5)
pelillian/randomtools
Mar 2019 - Jan 2021
Contributions:98 pushes, 1 branch in 1 year 10 months
pelillian/Keep-to-Bear
Apr 2019 - Apr 2022
Guide to making the move from Google Keep to Bear Notes
Contributions:14 commits, 1 PR, 13 pushes in 3 years
noteskeepgooglebeargoogle-keep
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