Patrick Coady
AI Researcher And Volunteer at Self-employed
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPatrick Coady is an AI researcher and seasoned engineering leader with nine years focused on AI/ML and over two decades designing mixed-signal integrated circuits. He built and scaled the Product AI Group at Analog Devices from zero to ~40 people in 18 months, closing the gap from proof-of-concept to production for AI-powered products. Previously he led the Analog Garage, driving advanced R&D across algorithms, systems, software, and business-model innovation while starting his career as a hands-on chip designer responsible for 15 commercial ICs. Now on a one-year sabbatical in Boston, he’s refreshing hands-on research and coding skills to contribute to open-source AI and community volunteering. Comfortable spanning research, productization, and operational leadership, he brings rare cross-domain fluency from sensor-level signal processing to cloud-scale ML deployment. An MIT-trained electrical engineer, he pairs deep technical rigor with a practical focus on delivering deployable, mission-driven solutions.
9 years of coding experience
27 years of employment as a software developer
MSEE Electrical Engineering, MSEE Electrical Engineering at Massachusetts Institute of Technology
Github Skills (26)
python10
data-science10
openai-gym10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
region10
neural-network10
trust10
robotics9
optimization9
pybullet9
reinforcement-learning8
Programming languages (4)
Github contributions (5)
pat-coady/tiny_imagenet
May 2017 - Jul 2017
Contributions:105 commits, 24 pushes in 1 month
pat-coady/trpo
Jul 2017 - Nov 2018
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Contributions:1 release, 26 commits, 10 PRs in 1 year 4 months
policytrust-regionroboticspolicy-optimizationdeep-learning
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