Summary
Suvam Bag is a Principal ML Engineer Lead with a decade of experience building production-grade AI systems, currently leading Azure Foundry and Microsoft Planetary Computer initiatives in Redmond. He specializes in geospatial, multimodal and real-time edge models, having driven large-scale perception and AV projects from data collection to deployed models. His background spans hands-on deep learning for hand-tracking and 3D perception, embedded ADAS stacks for low-power SOCs, and scalable cloud/on-prem model pipelines. Suvam pairs research rigor (MS thesis on deep learning localization with wide academic reuse) with product delivery, leading customer engagements and benchmarks that quantify real-world performance. He’s equally comfortable designing data generation and synthetic pipelines as optimizing inference at the edge, and—unusually for an ML lead—brings long-standing domain experience in automotive systems and simulation. Based in Redmond, he blends systems-level engineering with applied ML to move models from lab prototypes into resilient, fielded services.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MS), Computer Engineering, 3.57/4.0, Master of Science (MS), Computer Engineering, 3.57/4.0 at Rochester Institute of Technology
Bachelor of Technology (BTech), Electronics and Communications Engineering, Bachelor of Technology (BTech), Electronics and Communications Engineering at Heritage Institute of Technology, Kolkata
English