Summary
Leo Woiceshyn is a Machine Learning Software Engineer with nine years of experience applying deep learning, computer vision, NLP, and reinforcement learning to real-world products, currently building features for Google Assistant and Bard in Mountain View. He combines research-driven innovation from his graduate work in socially assistive robotics with practical engineering—moving state-of-the-art models into mobile and production-ready deployments during his time at Motorola and Google. Leo has hands-on expertise compressing and converting models for constrained devices, plus experience interviewing and mentoring engineers, reflecting both technical depth and team-facing impact. His background in mechanical engineering and early systems engineering roles gives him an uncommon systems-first perspective on ML pipelines and deployment trade-offs.
10 years of coding experience