Summary
Somesh Daga is a Senior Data Scientist specializing in reinforcement learning with 11 years of hands-on experience building localization, path-planning and perception systems for mobile robots across warehouse, airport and micromobility domains. He blends applied research and software engineering—from particle-filter improvements and vision-based SLAM to fleet management, IoT instrumentation and human-robot interfaces—delivering production-ready autonomy at scale. His recent roles span robotics engineering to senior perception and RL positions, reflecting a trajectory from core navigation algorithms to data-driven control for real-world platforms. Based in Toronto, he pursues AI-for-physical-systems innovations with a pragmatic focus on safety, simulation-backed backtesting and deployable pipelines. An MASc-trained engineer with a background in engineering physics and a knack for making “robots come to life,” he often bridges academic ideas and industrial constraints to accelerate autonomous system deployment.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science (BASc) Engineering Physics, Bachelor of Applied Science (BASc) Engineering Physics at The University of British Columbia
Theoretical Physics, Theoretical Physics at Perimeter Institute for Theoretical Physics
High School (O-level and Edexcel A-Level), High School (O-level and Edexcel A-Level) at Kuwait English School
Master of Applied Science Mechanical and Mechatronics Engineering, Master of Applied Science Mechanical and Mechatronics Engineering at University of Waterloo
English, Hindi, Malay