Summary
Alexander Patton is an AI Engineer based in Tokyo with eight years of software and data science experience, combining a dual BS in Computer Science and Computational Mathematics from Michigan State with practical roles at AWS, Collabera, Cognizant, and now Givery. He builds production-ready ML systems and pipelines—working across genetic programming, GANs (CycleGAN, Pix2Pix, DCGAN), neural networks, random forests, and applied statistical modeling—while also deploying at scale with Spark, Kafka, Docker, and Kubernetes. Comfortable across Python, TypeScript, Java/C# and more, he brings a strong theoretical grounding in combinatorics, graph theory, abstract algebra and probability to solve practical engineering problems. Outside work he’s a multi-sport outdoorsman and tournament-level rhythm game competitor, and he keeps a playful developer’s curiosity (and opinions about ++c vs c++) that informs creative problem solving.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Michigan State University