Machine Learning Engineer at Simon Fraser University
Vancouver, British Columbia, Canada
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Summary
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Alireza Heidari is a machine learning engineer with six years of experience building production ML systems and research-led models, currently based in Vancouver and pursuing an MS in Computer Science at Simon Fraser University. He blends applied software engineering—optimizing matching services and scaling microservices at Tapsi—with deep learning research on vision-language models and robust semi-supervised algorithms from his time at Sharif University. At Tapsi he boosted core business metrics through GNN-based ETA forecasting and matching algorithm improvements that materially increased revenue. His academic work focuses on improving VLM generalization via hierarchical label inductive biases and on leveraging out-of-domain unlabeled data with provable robustness gains. Comfortable moving models from theory to production, he pairs strong systems instincts (database migrations, gRPC, observability) with a rigorous research mindset. An uncommon strength is his track record of translating theoretical advances into measurable product impact.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Sharif University of Technology
Diploma of Education, Astronomy and Astrophysics, Diploma of Education, Astronomy and Astrophysics at Young Scholars Club
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Simon Fraser University
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Alireza Heidari - Machine Learning Engineer at Simon Fraser University