Summary
Adam Kowalski is a Lead Data Scientist in Portland with 11 years of experience applying machine learning to complex, real-world problems. He specializes in reinforcement learning and differentiable programming to build adaptive systems that learn from experience, and brings hands-on expertise from roles at SimSpace and Whitehorse Analytics. Comfortable bridging research and production, he has a software engineering background and a penchant for hacking on compilers and learning machines. Known for turning novel ML ideas into practical solutions, he combines strong academic foundations (BS in Computer Science, 3.79 major GPA) with leadership in delivering applied AI for operational environments.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Major GPA: 3.79, Bachelor of Science - BS, Computer Science, Major GPA: 3.79 at Portland State University
English, Polish