Wesley Suttle
Reinforcement Learning Engineer at APQX
Adelphi, Maryland, United States
Summary
👤
Senior🎓
Top SchoolWesley Suttle is a reinforcement learning engineer with nine years of experience building RL algorithms and scalable training pipelines, currently focused on productionizing decision-making systems at APQX. He holds a PhD in Applied Mathematics and Statistics and spent several years as a distinguished postdoctoral fellow at the U.S. Army DEVCOM ARL, where he led large-scale, containerized RL experiments on HPC clusters and developed simulation environments for adversarial and multi-agent settings. His published research at ICML, ICLR, and NeurIPS spans safe RL, offline dataset generation, and multi-agent decision-making, reflecting a balance of theoretical depth and applied engineering. Wesley combines hands-on PyTorch system design with mentorship experience and a knack for translating academic advances into robust, experiment-driven infrastructure.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Mathematics & Philosophy, Bachelor’s Degree, Mathematics & Philosophy at University of MinnesotaDoctor of Philosophy - PhD, Applied Mathematics and Statistics, Doctor of Philosophy - PhD, Applied Mathematics and Statistics at Stony Brook University
English, French, Spanish
Github Skills (7)
geometry3
exascale3
scalability3
operations-research2
computational-geometry2
reinforcement-learning2
deep-reinforcement-learning2
Programming languages (2)
Github contributions (5)
wessle/option_pricer
Mar 2018 - Sep 2020
Contributions:26 pushes, 3 branches in 2 years 7 months
wessle/wesutils
Feb 2020 - Jan 2021
Utility functions that I got tired of copying and pasting.
Contributions:2 PRs, 20 pushes, 4 branches in 11 months
pastingutility-functionscopyingkotlinios
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