Salar Hosseini
Systems Machine Learning Engineer at Meta
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSalar Hosseini is a Systems Machine Learning Engineer with nine years of experience building and deploying high-performance ML systems, currently working at Meta after leading ML engineering at Tenstorrent. He has deep expertise in efficient LLM inference and hardware-aware model deployments, having led the vLLM fork to enable low-latency, high-throughput inference on custom accelerators. His background blends academic research—MSc work at University of Toronto with CVPR and CoRL publications on self-supervised video representations and differentiable rendering—with hands-on systems work from FPGA compiler optimizations to robotics perception. Salar thrives at the intersection of research and production, translating novel unsupervised and multimodal learning methods into scalable implementations. He values collaborative, experimental engineering and brings an unusual combination of robotics, hardware, and large-model inference experience to applied ML problems. Based in Toronto, he continues to bridge cutting-edge research with real-world system constraints.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at University of Toronto
English, Persian, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
sdf9
nvidia7
pytorch6
artificial-intelligence5
cuda5
deep-learning3
ros3
camera-api2
slam1
drones1
controlled1
Programming languages (5)
Github contributions (5)
rvl-lab-utoronto/video_similarity_search
Jun 2020 - Jan 2023
Contributions:361 commits, 6 pushes, 2 comments in 2 years 7 months
yasasa/kaolin-wisp
Sep 2022 - Jan 2023
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Contributions:7 PRs, 20 pushes, 8 branches in 3 months
pytorchnvidianeural-fieldsfieldswisp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.