Summary
Ali Khodadadi is a Senior Machine Learning Engineer with nine years of experience applying ML to real-world problems across retail and research settings. With an MASc in Mechanical Engineering and a Data Science focus from the University of Toronto, he bridges physics-based modelling and modern AI—especially NLP and computer vision—to deliver production models like allergen detection and object recognition at Walmart Canada. Now at Instacart, he continues scaling ML systems in fast-moving product environments while retaining a strong research mindset from his academic work on multiscale simulations and 2D materials. He has a proven track record of mentoring students as a TA and translating hands-on lab experience (CFD, MD/DFT workflows) into robust engineering solutions. Fluent in multiple languages and comfortable across the stack from prototyping in PyTorch to deployment, he combines technical depth with practical impact. An avid lifelong learner, he often blends domain knowledge from mechanical engineering into creative ML approaches that improve model reliability in noisy, real-world data.
9 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at University of Tabriz
Master of Applied Science- MASc, Mechanical Engineering, Master of Applied Science- MASc, Mechanical Engineering at University of Toronto
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Sharif University of Technology
English, Turkish, Persian