Venky Yerneni

Global Head Of Enterprise Solutions at xAI

San Francisco Bay Area United States
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Summary

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Rockstar
🎓
Top School
Venky Yerneni is a strategic engineering leader and Global Head of Enterprise Solutions based in the San Francisco Bay Area, specializing in MLOps, LLMOps and GenAI application development across cloud-native stacks (AWS/GCP/Azure, Kubernetes, Terraform). He built and scaled solution architecture and AI solution engineering teams at Weights & Biases, protecting roughly 70% of ARR while designing customer journey playbooks and influencing product roadmaps. A hands-on technologist with roots in web and frontend development, Venky pairs deep deployment expertise (EKS/GKE/AKS, Docker, CI/CD) with strong customer empathy to solve complex on-prem and cloud infrastructure challenges. He thrives in fast-moving startups, has repeatedly built global teams from scratch, and is known for mentoring high-impact engineers and hiring "10x" talent. Notably, his background spans Intel performance engineering through to leading enterprise engagements at xAI, giving him rare visibility into both ML system optimization and enterprise-scale AI adoption. He believes solution engineering is an art—driven by storytelling, product sense, and relentless curiosity.
code4 years of coding experience
job8 years of employment as a software developer
bookData Science, Data Science at General Assembly
bookJawaharlal Nehru Technological University Hyderabad
bookMaster's Degree, Computer Science, Master's Degree, Computer Science at Portland State University
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Github Skills (34)

pytorch10
visualization10
deploying10
python10
data-science10
machine-learning10
reinforcement-learning10
hyperparameter-optimization10
keras10
data-versioning10
mlops10
deep-learning10
api10
tensorflow10
ai10

Programming languages (7)

HCLTypeScriptSmartyJavaScriptGoJupyter NotebookPython

Github contributions (5)

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Contributions:6 reviews, 15 PRs, 14 pushes in 2 years 3 months
wandb/terraform-aws-wandb

Mar 2022 - Jan 2023

A terraform module for deploying Weights & Biases on AWS.
Contributions:31 reviews, 34 commits, 24 PRs in 10 months
deployingbiasesweightsterraform-modulesterraform
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