Summary
Omit Chanda is a Staff AI Software Engineer based in Toronto with 8 years of experience building high-performance ML compilers, kernel implementations, and deployment tooling for specialized AI accelerators. At Qualcomm and previously Huawei, he drove production features that optimize data placement, memory layout, and multi-bit neural kernels, integrating tools directly into SDKs and frameworks like MindSpore. His background blends academic research in weakly supervised computer vision with practical compiler and runtime engineering, enabling him to translate novel models into efficient hardware-executable kernels. He has a track record of commercializing automated tooling, rigorous end-to-end testing, and cross-geography collaboration, and has contributed to intermediate language design and performance characterization for diverse DNNs. Notably, he pairs kernel-level optimization expertise with a history of publishing in top vision venues, giving him both research depth and product delivery experience.
8 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Manitoba
Bachelor of Applied Science - BASc Computer Science & Engineering, Bachelor of Applied Science - BASc Computer Science & Engineering at Shahjalal University of Science and Technology
English, Bengali