Vamsi Chagari
Machine Learning Lead at Suki
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolVamsi Chagari is a Machine Learning Lead based in the San Francisco Bay Area with over a decade of experience blending embedded systems, telecom firmware, and production ML. He currently architects custom ASR models and backend services for Suki’s conversational products, drawing on prior work building L1 firmware and AI/ML analyses for Intel gNB systems. His background includes hands-on DSP and baseband acceleration from a master’s thesis and research at Arizona State, plus practical embedded firmware and antenna AI at Kyocera AVX, giving him a rare full-stack view from silicon and real-time DSP up to cloud ML deployment. Comfortable in C, Python and system-level integration, he excels at turning tight timing and hardware constraints into scalable ML-powered features. Colleagues would note his track record of shipping cross-disciplinary systems that bridge research prototypes and production voice services.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Arizona State UniversityBTECH, ECE, BTECH, ECE at Vellore Institute of Technology
english- proficient
Stackoverflow
31reputation
2kreached
0answers
2questions
Github Skills (36)
transformers10
pytorch10
language-model10
python10
machine-learning10
flashlight10
deep-learning10
tensorflow10
natural-language-processing10
bert10
transformer10
speech-recognition10
nlp10
jax10
seq2seq9
Programming languages (2)
Github contributions (5)
vchagari/WIFI-Lite-GNURadio
Jun 2016 - Jun 2016
Contributions:7 commits, 5 pushes, 3 branches in 3 days
vchagari/Buildroot
Nov 2017 - Aug 2018
Contributions:1 push, 2 branches in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.