Ashutosh Mehta
@ashutoshmehta
I lead MLOps and LLMOps to scale secure, observable GenAI platforms in production.
IndiaWhat I'm looking for
I’m an MLOps and AI Infrastructure Engineer with over 7 years of experience building and scaling ML and GenAI systems in production. I specialize in Kubernetes-native deployments, CI/CD automation, observability, and LLMOps best practices, and I lead MLOps efforts to enable reliable and secure deployment of GenAI workloads.
At MSD, I’ve driven MLOps and platform development for GenAI applications, including a Text-to-SQL tool used by 1,500+ field users. I designed backend architecture on AWS (EKS, Lambda, RDS, S3) with containerized microservices and Kubernetes-native rollout patterns, introduced CI/CD using GitHub Actions/ArgoCD/Terraform to cut deployment time by ~40%, and established observability with Prometheus, Grafana, and the EFK stack to achieve >99% uptime—while integrating DevSecOps through IAM enforcement, secrets automation, SSO/AWS Cognito, container scanning, and audit logging.
Experience
Work history, roles, and key accomplishments
Led MLOps and platform engineering for GenAI applications, including a Text-to-SQL tool used by 1,500+ field users. Built AWS/EKS microservices with Kubernetes-native rollouts, reduced deployment time ~40% with GitHub Actions/ArgoCD/Terraform, and delivered >99% uptime with Prometheus/Grafana and the EFK stack.
Developed an AWS-based MLOps platform on EKS/Lambda to support containerized model serving and experiment tracking. Automated infrastructure provisioning and deployments with Terraform and GitHub Actions, reducing deployment time to under 15 minutes, and built Python SDKs/CLI tools to standardize deployment workflows for data science teams.
Built a serverless ML recommendation system using AWS Lambda, API Gateway, Fargate, and DynamoDB with version-controlled CI/CD. Automated operations with Bash/Python, maintained 30+ production servers across AWS and on-prem, and managed Cloudera big data platforms (HDFS/YARN) including job scheduling, access provisioning, and monitoring.
Education
Degrees, certifications, and relevant coursework
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Engineering, Engineering
2013 - 2017
Bachelor of Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya in Bhopal from 2013 to 2017.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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