Naveen Suda
Software Engineer at Meta
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolNaveen Suda is a software engineer in the San Francisco Bay Area with a deep background in hardware-aware ML and embedded inference, currently building software at Meta after leading neural-network acceleration work at Arm. His prior roles include developing CMSIS-NN for Cortex-M microcontrollers and applying pruning, clustering, and quantization to speed models on Arm NPUs, reflecting a rare combination of systems software and ML model optimization expertise. He holds a Ph.D. in electrical engineering and has researched hardware accelerators, analog prototyping platforms, and ultra low-power regulators, bringing strong research rigor to production problems. Early industry experience in FPGA platforms, high-speed I/O calibration, and server-processor physical design rounds out a career that spans silicon to software. Colleagues would note his knack for turning academic innovations into pragmatic deployment-ready libraries and optimizations.
3 years of coding experience
12 years of employment as a software developer
Master of Technology (M.Tech.), Master of Technology (M.Tech.) at Indian Institute of Technology, GuwahatiBachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at National Institute of Technology WarangalDoctor of Philosophy (Ph.D.), Electrical engineering, Doctor of Philosophy (Ph.D.), Electrical engineering at Arizona State University
Github Skills (17)
python10
machine-learning10
deep-learning10
gpu10
embedded10
numpy9
tensorflow9
neural-network9
mobile9
tensor9
gpu-acceleration8
autograd8
acceleration8
computer-vision7
pytorch6
Programming languages (2)
Github contributions (5)
navsud/d2go
Feb 2023 - Apr 2024
D2Go is a toolkit for efficient deep learning
Contributions:5 pushes, 4 branches in 1 year 2 months
navsud/executorch
Oct 2024 - Mar 2025
Contributions:7 pushes, 3 branches in 4 months
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