Cory Schillaci
Lead Engineer - Perception at Tidal
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolCory Schillaci is a Lead Engineer specializing in perception systems with 11 years of experience applying machine learning and physics to real-world robotics and embedded platforms. He holds a PhD in Physics from UC Berkeley and has moved from academic computational research into industry roles building onboard vision and sensor fusion for autonomous ocean vehicles and moonshot projects. At Saildrone he selected hardware and deployed infrared and visible-spectrum computer vision on energy-constrained vehicles, and more recently led perception for X’s Tidal project before joining Tidal as Lead Engineer. Cory combines rigorous theoretical training with hands-on systems engineering, comfortable from low-level C/OpenMP/MPI simulation work to Python-based ML pipelines and geospatial backends. He’s as practiced in designing custom algorithms and EM-style inference as he is integrating sensors and firmware for production autonomy. Based in Berkeley, he brings a scientist’s curiosity to pragmatic product delivery in challenging sensing environments.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of California, BerkeleyBS Physics, BS Physics at University of Washington
English, Spanish
Stackoverflow
61reputation
23kreached
1answer
1question
Github Skills (32)
cpu9
nvidia9
cuda8
tensorrt8
machine-learning7
optimizer7
gpu7
sdk7
throughput7
latency7
deep-learning7
neural-network6
inference6
python6
datetime6
Programming languages (3)
Github contributions (5)
coryschillaci/PaperWithTom
Aug 2014 - Mar 2015
Contributions:60 commits in 6 months
BIDS-collaborative/destress
Feb 2015 - Sep 2015
Contributions:133 commits, 101 pushes, 4 branches in 7 months
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