Summary
Omid Sakhi is a Principal Machine Learning Engineer based in Toronto with 11 years of experience building production-grade AI systems across healthcare and consumer apps. He specializes in end-to-end ML products, combining deep learning, computer vision, and robust data pipelines to move research into regulated, deployable systems—most recently leading arterial occlusion detection work that contributed to an FDA submission. As a founder and solo builder of FaceHarmony AI, he designed and operated full-stack generative-image pipelines and cross-platform mobile apps, gaining rare hands-on experience in product, infrastructure, and identity-preserving generative models. Previously at IBM Watson Health he delivered optimized medical imaging models, semi-automated annotation workflows, and practical innovations (like a flashcard error-detection system) that improved clinical model quality. He blends PhD-level computer vision research with pragmatic production engineering and a strong sense for when to prioritize validation over premature scalability.
11 years of coding experience
13 years of employment as a software developer
M. Sc Electrical and Electronics Engineering, M. Sc Electrical and Electronics Engineering at University of Mazandaran
PhD on Computer Science Computer Vision, PhD on Computer Science Computer Vision at Université Paris-Est Marne-la-Vallée
English, Persian