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.
4 years of coding experience
8 years of employment as a software developer
Data Science, Data Science at General Assembly
Jawaharlal Nehru Technological University Hyderabad
Master's Degree, Computer Science, Master's Degree, Computer Science at Portland State University
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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