Summary
Alireza Torabian is an R&D software engineer based in Toronto with a decade of experience bridging academic research and applied machine learning. With an MS in Computer Science and a BS in Software Engineering, he has led projects from calibration metrics for ML at York University to privacy-focused adversarial attacks and practical NLP systems, consistently translating theoretical insights into working prototypes. At Huawei Canada he continues to apply his strong mathematics background to R&D challenges, while earlier work includes a RoboCup-placing autonomous exploration system and high-accuracy QA and classification models. He combines deep research instincts with hands-on implementation—often improving black-box attack success through clever data augmentation or formalizing evaluation to reduce bias. Known for a pragmatic, results-driven approach and a personal motto of “Believe in yourself and go for it,” he thrives on turning hard research problems into deployable solutions.
10 years of coding experience
4 years of employment as a software developer
Amirkabir University of Technology
High School, High School at Allame Helli High School
Master of Science - MS, Computer Science, A+, Master of Science - MS, Computer Science, A+ at York University
English, Persian