Summary
Saumil Shah is a generalist software engineer with nine years of experience building production-ready robotics and AI systems, currently focused on physical security AI at Coram AI in San Francisco. He combines a robotics master's from UMD and a mechanical engineering background to bridge mechatronics, perception, and cloud deployment—shipping real-time, on-device deep learning using TensorRT and CUDA. At Verdant Robotics he led hybrid detection models, active learning pipelines, and visualization tools that accelerated iteration for precision farming robots, and he has built warehouse vision systems at OSARO. Comfortable in Python and C++ with PyTorch and TensorFlow, he repeatedly delivers end-to-end ML solutions from data collection to embedded inference. Notably, he has applied robotics-grade engineering practices across medical device test systems and agricultural autonomy, showing a knack for turning complex hardware constraints into deployable AI.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at S V National Institute of Technology, Surat
Smt V. D. Desai (Wadiwala) High school
Master's degree Robotics, Master's degree Robotics at University of Maryland