Raviteja Chinta
Software Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRaviteja Chinta is a software engineer with nine years of experience specializing in ML performance and HW/SW/science co-design, currently working on AI and systems co-design at Meta Superintelligence Labs. He has a strong track record building and optimizing compute kernels and firmware for ML accelerators at Amazon and Qualcomm, spanning edge processors, VLIW vector microcode, and platform-specific optimizations for NVIDIA, AMD and MTIA. His work covers multimodal LLMs, media generation and recommendation systems, combining low-level performance tuning with model-aware optimization. Based in San Francisco, he brings production-proven expertise in trading off latency, throughput, and resource usage across software and silicon. Notably, he pairs deep signal-processing and firmware background with recent large-model and diffusion-model performance work, a blend that accelerates moving research models into efficient deployment. He holds an MS in Electrical and Computer Engineering and began his career enabling real-time embedded signal-processing applications.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Technology, Electrical and Communication Engineering, Bachelor of Technology, Electrical and Communication Engineering at International Institute of Information Technology Hyderabad (IIITH)Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of Florida
Github Skills (5)
machine-learning4
deep-learning4
caffe4
gpu3
deep-neural-networks1
Programming languages (1)
Github contributions (5)
r3t2/practice_ds_algos
Nov 2016 - Jun 2018
Contributions:301 pushes, 1 branch in 1 year 7 months
shaktisourav/facial_keypoint_recognition
Sep 2016 - Oct 2016
Contributions:64 commits, 14 PRs, 30 pushes in 1 month
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