I'm currently:

• developing models for optimizing site reliability at Rootly's (YC S21) AI Lab as a Member of Technical Staff
• improving drone localization accuracy at the DECAR Lab at McGill University; and testing new diffusion model architectures for robot state estimation
• running open-source benchmarking hackathons and ML reading group meetups

My past experience includes developing vision models for the Canadarm program at MDA Space, testing drones at ACSL in Japan as a Cansbridge Fellow, and co-authoring a workshop paper on distilling state space language models that was accepted at ICML 2024.

I'm actively interested to collaborate with academic and industry groups working on:

1. robotics research projects related to sensor fusion, autonomous navigation and self-supervision for cross-domain tasks
2. machine learning research on architectural improvements (incl. state space models or accelerated optimizers) for generalizable learning

If you'd like to get in touch, please feel free to schedule a coffee chat through my Cal.com , and I look forward to meeting you soon!