Radhakrishnan Venkataramani
Member Of Technical Staff at xAI
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRadhakrishnan Venkataramani is a Member of Technical Staff with 13 years of experience building large-scale, performance-sensitive systems across Ads, streaming, and ML/AI infrastructure. He has driven technical programs at Meta and Google modernizing inference and serving stacks, stream processing, and scheduler/cluster orchestration, often improving startup and latency characteristics by orders of magnitude. At Snowflake he focused on Snowpark startup performance and exploring accelerator-backed compute pools to co-locate ML inference with SQL, and he now contributes to reasoning and RL efforts at xAI to advance Grok. He excels at bridging research and production—shipping model optimization techniques (quantization, pruning) into recommendation pipelines and enabling GPU/ASIC inference at scale. Colleagues know him as a pragmatic technical leader who scales teams and systems while keeping an engineer’s attention to low-level performance details. Based in Menlo Park, he brings deep systems expertise coupled with a track record of cross-organizational collaboration that impacts revenue-critical products.
13 years of coding experience
12 years of employment as a software developer
B Tech, B Tech at College of Engineering Guindy, Anna UniversityAnna University Chennai
Github Skills (49)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
voting8
authentication8
hardware8
login-system8
Programming languages (3)
Github contributions (5)
radkris-git/pytorch
Jun 2020 - Jan 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:44 pushes, 9 branches in 7 months
pythongpu-accelerationdeep-learninggpuacceleration
radkris-git/glow
Apr 2020 - Jun 2020
Compiler for Neural Network hardware accelerators
Contributions:3 pushes, 6 branches in 2 months
hardware-acceleratorscompilerneural-networkacceleratorshardware
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.