Fawad Shaikh

Built and scaled Kubernetes clusters with Helm and Argo CD, enabling predictable and reliable deployments for business-critical services. Led DevOps and MLOps initiatives across cloud-native infrastructure and AI/ML platforms. Implemented CI/CD pipelines with Jenkins, GitHub Actions, and TeamCity; modernized data pipelines with Airflow, Kubeflow, and MLflow; automated observability with Prometheus, Grafana, and DataDog; established backup/disaster recovery, security hardening, and IAM-based access controls. Designed and documented runbooks, enabling scalable, compliant operations across global teams.

Built cloud infrastructure and automation on Azure and AWS, creating scalable and secure environments capable of supporting both research and enterprise-grade production workloads. Designed and automated CI/CD pipelines using Jenkins, TeamCity, and GitHub Actions, enabling faster, higher-quality releases. Instrumented observability with Prometheus, Grafana, and DataDog; modernized data workflows with Airflow and Pub/Sub; implemented cloud-native app modernization across AWS, Azure, and GCP; introduced security validations in pipelines; containerized apps with Docker and orchestrated on EKS/AKS with blue/green and canary release strategies. Engineered network architecture (VPCs, private subnets, NAT gateways, ALB/WAF) and disaster recovery procedures to maintain business continuity.

Engineered scalable, high-availability API frameworks using Python (FastAPI, Flask, Django) to deliver secure enterprise-grade banking services; designed optimized data models and ETL workflows; modernized backend with containerized deployments using Docker and Kubernetes; deployed AI/ML pipelines and supported risk/fraud analytics across health care and financial domains.