About me

I am a PhD student in Electrical & Computer Engineering at McGill University, conducting my research at MILA and ILLS with Prof. Mark Coates. My work spans Bayesian and online learning, probabilistic reasoning with large language models, and graph-based representation learning, with a particular focus on controllable test-time compute and reliability.

I am Co-Founder and CTO of Isidor, where we develop vertically integrated pipelines for post training foundational models in challenging business tasks.

In 2024 and 2025 I completed two Applied Scientist internships at Amazon (Seattle), where I built multi-modal pricing models for 100M+ items, introduced epistemic uncertainty quantification techniques, and delivered systems that were deployed into production. I have also collaborated with Unity Labs and Quantum Technologies on motion animation in the Unity game engine, recommender systems, and graph learning research.

Teaching and mentorship were a major part of my work at McGill. I was the course lecturer for ECSE 316 (Signals and Networks) in Fall 2025. I have served as a TA and lab instructor for multiple semester for ECSE 316 (Signals and Networks), ECSE 416 (Intro to Telecommunications Systems), and ECSE 211 (Design Principles & Methods), winning the best teaching award in the Faculty of Engineering among over 200 courses offered by the Faculty. I also designed and taught the student led MAIS 202 - Intro to Machine Learning seminar with the McGill AI Society during my undergrad.