Summary
Sooham Rafiz is a software and hardware engineer who blends machine learning research with practical hardware acceleration, with 11 years of experience delivering FPGA/GPU and cloud-native solutions. He has shipped production services at Amazon (PXT) and accelerated AI workloads at Qualcomm and Intel, where he built C++/OPAE tooling to service FPGA DMA/MMIO and migrated OpenVINO for team-wide use. Now based in New York and freshly graduated from the University of Toronto, he’s building AI-driven agents for pharmaceutical manufacturing at a stealth startup while staying fluent in Python and C++. Beyond hands-on implementation, he has experience across embedded avionics, DSP IP flows, and web stacks, demonstrating an unusual breadth from low-level synthesis to Typescript-driven cloud services. He also writes technical expository posts on algorithms and deep learning, signaling a strong communicator who can translate research into practical systems.
11 years of coding experience
7 years of employment as a software developer
Honours Bachelor of Science (H.BSc), Computer Science, Honours Bachelor of Science (H.BSc), Computer Science at University of Toronto
English, Chinese, Hindi, French