Sasan Nasirifar is a software engineer with 11 years of experience building high-performance systems and shrinking latency across ads, search, and cryptography stacks. He has shipped low-latency query prediction and a bare-metal cluster manager at Cafe Bazaar, worked on client-side WASM homomorphic encryption at Lorica, and drove Ads ML inference at Meta. A visiting researcher at MIT, he designed an IoT logging stack and improved accelerometer efficiency by 10%, reflecting a blend of practical systems engineering and experimental rigor. Now based in San Francisco, he’s focused on making systems faster and more efficient at Fireworks AI. Notably, his track record spans both production optimization (10x search speedups) and privacy-preserving client-side computation—skills that bridge scale, latency, and security.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Toronto
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Shahid Beheshti University
Diffs of your notes in Google docs in your inbox (to be reviewed late at night)
Contributions:30 commits, 12 pushes, 1 branch in 8 months
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Mohammad Nasirifar - Software Engineer at Fireworks AI