Summary
Sayem Siam is a software engineer with a decade of experience building and optimizing on-device machine learning and computer vision systems for flagship devices. Currently at Google after a stint at Meta, he has deep C++/Java/Android and JNI expertise from shipping gesture recognition, video analytics, and ML libraries for phones, TVs, cars, and embedded NPUs at Huawei and Samsung. He bridges research and production—moving models to constrained edge environments and integrating with hardware accelerators—while also owning mobile architecture and cross-platform integrations. Based in Seattle, he pairs an M.Sc. in Computer Science with a track record of delivering low-latency, resource-efficient ML solutions that power real product features beyond typical cloud-first approaches.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at University of Alberta
Bachelor of Science (BSc) Engineering in Computer Science and Engineering, Computer Science, 3.85, Bachelor of Science (BSc) Engineering in Computer Science and Engineering, Computer Science, 3.85 at Islamic University of Technology
English, Bangla