Connor Holmes
Research Intern at Waabi
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolConnor Holmes is a robotics scientist and PhD candidate at the University of Toronto, studying convex relaxations to solve complex robotics problems. As a Research Intern at Waabi since 2025, he applies rigorous theory to autonomous driving challenges. He is based in Old Toronto, Ontario, and holds a Master’s in Applied Sciences (System Control) and a Bachelor’s in Engineering Science (Electrical and Computer) from the University of Toronto. His experience spans MDA's technical staff, Vale Canada, and teaching roles, blending hands-on engineering with systems-level thinking. His work bridges theory and practice, with a personal site at holmesco.github.io showcasing his research. With 11 years in the field and collaboration with professors like Peter Lehn, he brings rigor, curiosity, and a knack for turning abstract optimization into deployable robotics solutions.
11 years of coding experience
6 years of employment as a software developer
3.54 GPA, 3.54 GPA at University of Toronto
English, Portuguese, French
Github Skills (15)
convex7
optimization5
robotics5
convex-optimization4
deep-learning3
python3
pytorch3
computer-vision3
pairwise3
nonlinear-optimization2
levenberg-marquardt2
machine-learning2
nonlinear2
graph1
synchronization1
Programming languages (4)
Github contributions (5)
utiasASRL/sdprlayer
Jun 2024 - Jan 2025
Contributions:4 PRs, 29 pushes, 8 branches in 7 months
holmesco/deep_learned_visual_features
Apr 2024 - Jun 2024
Deep learned features for long-term localization in Visual Teach and Repeat
Contributions:19 pushes, 9 branches in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.