Alireza Heidari
Machine Learning Engineer at Monsters Aliens Robots Zombies
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolAlireza 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 TechnologyDiploma of Education, Astronomy and Astrophysics, Diploma of Education, Astronomy and Astrophysics at Young Scholars ClubMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Simon Fraser University
Github Skills (87)
openai-clip9
ai9
fastapi-middleware9
visa9
jwt-authentication9
backend9
bearer-authentication9
machine-learning9
artificial-intelligence9
docker-compose8
profiling8
mnist8
fastapi8
frontend8
event-driven8
Programming languages (5)
Github contributions (5)
deepmancer/flask-authentication-service
Mar 2021 - Aug 2024
Contributions:21 pushes in 3 years 6 months
deepmancer/microservice-docker-example
Jan 2024 - Nov 2024
A Dockerized microservice example for managing student data with scalable components, Nginx reverse proxy, and PostgreSQL integration.
Contributions:8 PRs, 35 pushes, 2 branches in 10 months
microservicesnginx-reverse-proxypostgresqlbackend-servicesboilerplate-template
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