Ali Faraji is an Applied Machine Learning Scientist based in Toronto with eight years of engineering experience and a Master’s in Computer Science from York University focused on machine unlearning. He blends academic research—publishing and developing trajectory prediction and unlearning methods—with industry impact, building AI-driven assessment products and production ML systems at organizations including TD and a writing-assessment startup. Proficient in Python and PyTorch, he brings deep statistical foundations and full‑stack software experience to deploy robust, safe predictive models. An open-source and weights-first advocate active in IEEE Toronto, he balances practical “it works on my machine” pragmatism with rigorous research instincts.
Contributions:1 PR, 36 pushes, 2 branches in 3 years 3 months
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