Atul Gupta

About Atul Gupta

MLOps Consultant with expertise in cloud technologies and DevOps methodologies, specializing in machine learning operations through pipeline orchestration and infrastructure automation. Proficient in AWS DataZone, Databricks, Terraform, and Ansible, delivering solutions that enhance operational efficiency and service availability. Focused on leveraging technical skills in dynamic environments to drive innovative machine learning applications.

Experience

1. Mlops Consultant

   Amazon Web Services (AWS)

   Jul 2023 — Present · Bengaluru, IN

   Designed, built, and maintained end-to-end machine learning pipelines, including training, validation, deployment, and monitoring.• Implemented CI/CD pipelines customized for machine learning workflows.• Deployed and maintained machine learning models in production environments.• Developed SageMaker organizational templates using AWS Service Catalog and Portfolios to streamline the organization, sharing, and reuse of templates across multiple SageMaker domains, which enhanced standardization, improved efficiency, and enabled consistent deployment of resources.• Architected the Datazone setup for the client on how data would be discovered, shared, and governed by different user personas.• Automated DataBricks orchestration and notebook deployment using Terraform and SCIM APIs.• Collaborated with data scientists and engineers on SageMaker AI for automating data preparation and model deployment.• Monitored Databricks and SageMaker pipelines asynchronously using Event Hub, Lambda, Webhook, and API Gateway to optimize resource costs.• Achieved AWSome Builder Award for successful completion of the ML project.• Core AIOps/MLOps team member, helping AWS to build centralized, reusable model build and deploy templates for different automation platforms like GIT and Bitbucket.

Education

• SDMCET ,DHARWAD

  Bachelor’s Degree, Electrical, Electronics and Communications Engineering

  2008 — 2012