Faran K.

I have designed and deployed full MLOps pipelines from model training environments and experiment tracking to containerized inference serving and automated retraining workflows for computer vision systems processing real-time data across retail, sports analytics, and traffic monitoring. I have led high-availability AWS infrastructure migrations for event platforms handling tens of thousands of users and managed cloud-native CI/CD pipelines across teams building SaaS products for UK and US markets. What I actually deliver: — MLOps pipelines built on MLflow, Kubeflow, and Apache Airflow with Kubernetes orchestration and Prometheus/Grafana monitoring — AWS infrastructure designed for production: multi-AZ VPCs, ECS/Fargate deployments, RDS with read replicas, S3-backed data lakes, CloudFront CDNs, and Lambda-based serverless workflows — CI/CD pipelines using AWS CodePipeline, Jenkins, and GitLab CI/CD with automated testing, staged rollouts, and rollback handling — Infrastructure as Code using Terraform and CloudFormation, no manual provisioning, full drift detection, version-controlled environments AWS Certified Solutions Architect (April 2026 — April 2029). 100% Job Success. Available for full-time engagement.