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Krishna Wagh

@krishnawagh

AI DevOps & MLOps Engineer at Tata Consultancy Services who cut infrastructure costs by 60% through GPU rightsizing and Savings Plans.

India
Message

At Tata Consultancy Services, I designed Helm-based GitOps workflows on AWS EKS and provisioned GPU-enabled node groups for AI/ML training and inference. I also built Jenkins and GitHub Actions pipelines for continuous training and automated model deployment, reducing pipeline execution time by 20%.

I designed a secure LLM inference pipeline with LangChain, Docker, and AWS API Gateway, and led FinOps initiatives that reduced infrastructure expenditure by 60%. At Mindcraft Software Pvt. Ltd., I managed EKS clusters and supported production systems across AWS.

Experience

Work history, roles, and key accomplishments

TS

AI DevOps & FinOps Engineer / MLOps Infrastructure Engineer

Designed and operationalized Helm-based GitOps workflows on AWS EKS using ArgoCD, provisioning GPU-enabled node groups for scalable AI/ML model training and inference. Engineered Jenkins and GitHub Actions CI/CD pipelines integrating MLOps practices, reducing pipeline execution time by 20%.

Education

Degrees, certifications, and relevant coursework

AS

AWS Certified Solutions Architect – Associate (SAA-C03)

AWS Certified Solutions Architect – Associate (SAA-C03), Cloud Architecture

Certification as an AWS Certified Solutions Architect – Associate (SAA-C03).

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