Dwith Chenna
Physical AI Model Optimization Lead - Advanced Robotics Team
Denver Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDwith 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 WarangalMaster’s Degree Computer Engineering, Master’s Degree Computer Engineering at University of Maryland
Hindi, Telugu, English
Github Skills (23)
python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
ml9
amd9
inference9
deep-neural-networks9
ai9
machine-learning-models8
simulator7
ros7
computer-vision6
autonomous-driving6
Programming languages (3)
Github contributions (5)
cyndwith/cnn_networks
Nov 2018 - Aug 2019
Contributions:16 commits, 27 pushes, 1 branch in 9 months
dwithchenna/ryzen-ai-documentation
Jul 2024 - Nov 2025
Onboarding documentation source for the AMD Ryzen™ AI Software Platform. The AMD Ryzen™ AI Software Platform enables developers to take pretrained machine learning models in popular frameworks and run them on laptops powered by AMD Ryzen™ AI technology.
Contributions:1 PR, 95 pushes, 3 branches in 1 year 4 months
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