Background
I'm a Montréal-based engineer trained at the intersection of neuroscience and artificial intelligence. My path took me from studying the brain to building systems that draw on its principles.
At Dr. Jerbi's lab I built decoding pipelines for MEG neuroimaging data — extracting millisecond-resolution information about neural activity from raw sensor signals. That work shaped how I approach feature engineering, signal processing, and the translation of domain knowledge into ML pipelines.
At Artelys I applied that same rigour to an industrial setting: developing machine learning models on technical transformer specs to predict labor times, using gradient-boosted methods and feature importance explainability.
I recently completed my M.Eng. AI at Polytechnique Montréal and am looking for ML engineering, applied research, or data science roles in Montréal. I work best in environments that take both the science and the craft seriously.