Summary
Son Tran is a Senior Principal Scientist based in Tokyo with nine years of industry experience specializing in computer vision, robotics, and multimodal deep learning. He has led and shipped production-scale vision systems across Amazon (including A9) and Microsoft, translating cutting-edge research in object recognition, video search, and event understanding into customer-facing products. Holding a PhD in Computer Vision from the University of Maryland, he blends academic rigor with practical engineering skills across Python, C++, Java and databases like SQL and MongoDB. Known for moving models from prototype to production, he has repeatedly bridged research and product teams to deliver scalable ML solutions. Beyond hands-on modeling, he brings systems-level experience from roles spanning startups to large tech—an uncommon mix that helps him optimize both algorithms and their operationalization.
9 years of coding experience
22 years of employment as a software developer
MSc Computer Science, MSc Computer Science at University of Wisconsin-Milwaukee
PhD Computer Vision Image Analysis Image Processing, PhD Computer Vision Image Analysis Image Processing at University of Maryland
Vietnamese