Cloud Operations Admin | MLOps at V2Value Biz Solutions

Owned end-to-end ML lifecycle on AWS SageMaker and EKS including training, validation, deployment, versioning, model registry, and experiment tracking for production ML workloads. Orchestrated training and inference using SageMaker and Kubeflow pipelines and Apache Airflow while tracking experiments and model lineage with MLflow. Deployed batch and real-time models using SageMaker endpoints, TensorFlow Serving and TorchServe on EKS while standardizing rollouts, rollbacks, A/B testing, and canary release strategies. Implemented ML and LLM monitoring for data quality, model performance, and drift using SageMaker Model Monitor and Evidently AI with Prometheus and Grafana. Built CI/CD pipelines for ML and agent workflows using GitLab, Argo CD and AWS CodePipeline, CodeBuild, CodeDeploy and automated model retraining and validation through GitOps. Designed agentic AI workflows using LangChain, LangGraph, and Amazon Bedrock including multi-agent systems, tool-calling, and RAG pipelines integ

Associate Software Engineer | DevOps at V2Value Biz Solutions

Automated AWS infrastructure using Terraform and CloudFormation across Dev, QA, Staging and Production environments. Built and deployed containerized applications using Docker improving portability and deployment efficiency. Created, tested, and deployed end-to-end CI/CD pipelines using Jenkins, GitLab and Argo CD. Designed and managed Argo CD based GitOps pipelines for Kubernetes enabling declarative deployments and rollbacks. Implemented observability through monitoring, logging, tracing, alerting and dashboards for platform services and data pipelines. Performed Linux system administration and developed Python and Bash automation scripts for operational tasks. Monitored AWS infrastructure using Amazon CloudWatch and configured IAM policies and alerts to improve visibility.