Summary
Dwith Chenna is an R&D-focused product development engineer with 11 years of experience specializing in computer vision, deep learning, and EdgeAI, currently driving AI inference adoption at AMD. He combines hands-on algorithm development and DSP-level optimization with productization work—building onboarding use-cases, tooling, and benchmarks to make ML runtimes, compilers, quantizers, and profilers production-ready. Previously he led vision software on Tensilica DSPs at Cadence and optimized perception and gesture systems at Magic Leap, with a strong track record of squeezing latency, memory, bandwidth, and power out of constrained hardware. His background spans applied research (FDA, TI) and academic rigor (M.S. in Computer Engineering), giving him a pragmatic yet research-informed approach to problem solving. Dwith also contributes to industry direction through IEEE senior membership and advisory work at the AI Accelerator Institute, influencing community content and product priorities. Notably, he blends low-level C/C++ and profiling expertise with end-user collateral creation—so he ships both performant models and the documentation that helps customers use them.
11 years of coding experience
9 years of employment as a software developer
B.Tech, Electronics and Communication Engineering, B.Tech, Electronics and Communication Engineering at National Institute of Technology Warangal
The University of Maryland, College Park
Hindi, Telugu, English