Summary
Adam Schunk is a Cloud Engineer with nine years of experience building and deploying ML-driven software and cloud-native systems, currently contributing at Ford Motor Company. He blends a strong academic background in AI and CS from University of Waterloo and UIUC with hands-on experience designing reinforcement learning agents, predictive network models, and asset-assignment algorithms in defense and research settings. Comfortable across the stack, he has productionized models using Kubernetes, data pipelines, and unit-tested software while mentoring teammates and interns throughout his career. Notably, his work at CUBRC included AlphaStar-inspired architectures and custom PYSC2 integrations, demonstrating creativity in adapting game AI techniques to real-world problems. Based in Buffalo, NY, he pairs analytical rigor with people skills, often translating research prototypes into practical demonstrations that stakeholders can evaluate. He’s as at home optimizing communication schedules for stealthy operations as he is teaching entry-level C++ and Python.
9 years of coding experience
8 years of employment as a software developer
University of Illinois Urbana-Champaign
Masters of Mathematics, Computer Science, Artifical Intelligence, Masters of Mathematics, Computer Science, Artifical Intelligence at University of Waterloo