Amir Afzali is a software engineer with eight years of experience specializing in distributed systems and performance-sensitive infrastructure, currently working on PyTorch Distributed and ML serving at Meta in New York. He has a strong systems background with hands-on expertise in Python, C++, and Java, and a track record optimizing CPU/memory, fault-tolerant training, and GPU communication. Prior internships at Akuna Capital, Snap, Instagram, and Facebook exposed him to risk pipelines, cloud infra, rate limiting, and ads delivery at scale. He also led large-scale student hackathon engineering efforts, building production-facing full-stack tools used by thousands of participants. Comfortable across research-adjacent ML infra and production engineering, he brings both low-level performance tuning and platform-level observability to distributed ML systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - B. Eng, Software Engineering, 3.8/4.0 CGPA - Summa Cum Laude, Bachelor of Engineering - B. Eng, Software Engineering, 3.8/4.0 CGPA - Summa Cum Laude at McMaster University
Ontario Secondary School Diploma, 95%, Ontario Secondary School Diploma, 95% at St. Theresa of Lisieux CHS
Contributions:59 commits, 6 PRs, 42 pushes in 19 days
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