Greater Montreal Metropolitan Area
Data Engineering and Artificial Intelligence team
- Taught speedsolving techniques for various twisty puzzles in French and English - Designed group courses and mentorships for over 60 students
Summer research supervised by Profs. Tiberiu Popa and Denis Pankratov and funded by the NSERC USRA award. The project investigates strategies for efficient trajectories from the Rubik's Cube group into structured subgroups. The aim is to apply ML techniques to solutions generated by Nissy and GAP-based (Groups, Algorithms, Programming library) tools to improve human heuristics for the Fewest Moves Challenge.
Position held during three consecutive winters at Campbell Avenue, Dufferin Grove, and Wallace Emerson parks. - Patrolled outdoor rinks and and ensured safety of skaters - Worked cash at snack bar - Completed indoor tasks such as cleaning, rink maintenance, food prep