Summary
Sharath Jotawar is a Staff Computer Vision Engineer based in Singapore with nine years of experience building production-grade vision systems for robotics and sports analytics. He holds an M.Tech in Signal Processing from IIT Guwahati and has progressed from research and robot motion-planning roles at TCS Innovation Labs to hands-on deep learning and perception work at Transforma and Rapsodo. His strengths include semantic segmentation, object detection, and end-to-end image-processing pipelines—experience that spans Mask R-CNN implementations, task planners for robot behavior, and ECU-level design early in his career. At Rapsodo he has scaled computer vision solutions toward real-world product requirements, translating research prototypes into deployed systems. Beyond core CV, he bridges backend communication and web interfaces, reflecting a practical full-product mindset that pairs algorithmic depth with deployment and HMI considerations.
9 years of coding experience
11 years of employment as a software developer
Master of Technology (M.Tech.), Signal Processing, Master of Technology (M.Tech.), Signal Processing at Indian Institute of Technology, Guwahati
Bachelor of Engineering (BE), Electronics and Communications Engineering, Bachelor of Engineering (BE), Electronics and Communications Engineering at BMS College of Engineering, Bangalore
English, Kannada, Hindi