Omit Chanda
Staff Engineer @高通
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WORK HISTORY
Staff Engineer @高通
Toronto, ON, CA
Driving backend and runtime development for the QNN SDK targeting Qualcomm’s Hexagon Tensor Processor (HTP), with a focus on GenAI inference and system-level optimization for mobile and automotive platforms- Enabled GenAI inference support for HTP by introducing optimizations that improved performance and resource efficiency across diverse input lengths- Resolved SoC-level compatibility issues stemming from precision format differences, ensuring reliable model execution across multiple OEM deployments- Defined and executed the functional safety (FuSA) testing strategy, delivering full backend coverage to meet stringent automotive compliance standards- Collaborated with a major mobile OEM and a leading tech partner to deploy optimized LLM inference on HTP, aligning backend performance with production KPIs for latency, memory, and throughput.
EDUCATION
University of Manitoba
Master's degree, Computer Science
Shahjalal University of Science and Technology
Bachelor of Applied Science - BASc, Computer Science & Engineering
SKILLS
ABOUT OMIT CHANDA
Staff AI Software Engineer with 6+ years of experience delivering optimized ML compilers, graph transformations, and inference runtimes at Qualcomm and Huawei.At Qualcomm, I invlove GenAI inference efforts for the Hexagon Tensor Processor (HTP), focusing on quantization, performance tuning, and SoC integration across flagship mobile and automotive platforms. I\'ve also built tools for QNN model debugging and led cross-functional initiatives to ensure functional safety compliance.Previously at Huawei, I contributed to compiler infrastructure for DaVinci AI accelerators, introducing abstractions to simplify kernel development and improve developer productivity.I\'m passionate about building AI systems that bridge the gap between ML models and real-world hardware.
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