Charles Tripp
R&D Artificial Intelligence Engineer at Zazzle
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolCharles Tripp is an R&D Artificial Intelligence Engineer and Stanford PhD with over a decade of hands-on experience bridging cutting-edge ML research and real-world deployments. He founded and led Terrain, a venture-backed startup that created an "algorithm management system" and guided it to acquisition, and has since driven applied AI across energy, autonomous systems, and e-commerce at NREL and Zazzle. His work ranges from reinforcement learning and probabilistic modeling to large-scale empirical studies on supercomputers (250+ node-years), with funded projects exceeding $8M. Comfortable in both executive and individual-contributor roles, he designs production-ready algorithms—patenting image-matching methods and building low-latency NLP and recommendation systems. Based in Denver, he combines deep academic training with entrepreneurial grit and a persistent interest in translating stochastic optimization advances into impactful products.
11 years of coding experience
17 years of employment as a software developer
B.S. Electrical Engineering, B.S. Electrical Engineering at Rice UniversityPh.D. Electrical Engineering, Ph.D. Electrical Engineering at Stanford University
English, c++, c, java, c#, python, php, javascript, perl, matlab, latex, lisp, x86 assembly
Github Skills (18)
molecule9
optimization8
reinforcement-learning8
raptor7
ray6
graph-algorithms6
machine-learning5
agent-based-modeling5
stochastic5
python5
agent3
classification3
benchmark3
lime3
datasets3
Programming languages (3)
Github contributions (5)
NREL/BUTTER-Empirical-Deep-Learning-Experimental-Framework
Oct 2020 - Feb 2023
Contributions:790 commits, 4 PRs, 592 pushes in 2 years 4 months
NREL/E-Queue-HPC
Jun 2021 - Feb 2023
Contributions:74 commits, 2 PRs, 27 pushes in 1 year 8 months
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