Summary
Robin Vinod is a machine learning engineer and UBC Computer Science student with eight years of hands-on experience building applied ML solutions and embedded systems. He has delivered research-focused deep learning work at A*STAR's Singapore Bio-imaging Consortium and built hardware-software products—from H-bridge 3D drawing machines to Arduino RFID locks—demonstrating a rare blend of firmware, mechanical design, and software skills. Passionate about mobile app development and practical ML, he gravitates toward projects that turn research ideas into usable tooling. Comfortable across C, embedded frameworks like Grbl, and ML research pipelines, he pairs rapid prototyping with CAD and 3D printing expertise. Based in Canada, he brings an engineer’s curiosity and a track record of shipping physical computing projects that inform his approach to machine learning systems.
8 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of British Columbia
Pre-University, Computing, Physics, Math and Economics, Pre-University, Pre-University, Computing, Physics, Math and Economics, Pre-University at National Junior College
School of Science and Technology, Singapore
Primary School Leaving Examination, Primary Education, Primary School Leaving Examination, Primary Education at Evergreen Primary School
English, Tamil