Projects

Problem:Need to deploy a scalable, high-availability learning platform with rapid auto-scaling and real-time monitoring.

Implementation:Architected multi-tier AWS infrastructure using EC2, App Runner, RDS, S3, ALB, and Route 53. Added CloudWatch dashboards, alarms, and release automation.

Problem:Manage 12+ microservices across GCP with automated deployments and secure service-to-service access.

Implementation:Built infrastructure on Cloud Run, App Engine, Cloud SQL, and Firestore. Implemented GitLab CI pipelines and IAM least-privilege policies.

Problem:Containerize a legacy job portal and deploy securely with isolated networking and identity controls.

Implementation:Built containerized services, pushed images to AWS ECR, and deployed with VPC isolation, security groups, NAT, and IAM policies.

Problem:Integrate security scanning into CI/CD without slowing developer velocity.

Implementation:Engineered Jenkins shared libraries to run Terraform checks, Trivy image scans, SonarQube code analysis, and Wiz posture validation.

Problem:High cloud costs caused by inefficient scaling and overprovisioned Kubernetes workloads.

Implementation:Optimized EKS node groups with Spot + Karpenter, tuned HPA thresholds via Prometheus/Grafana metrics, and right-sized pods.

Problem:Multi-cloud workloads needed stronger east-west traffic control and access governance.

Implementation:Designed segmented VPC/VNet patterns, least-privilege IAM roles, workload identity federation, and private service endpoints.

Problem:Deployment drift and inconsistent environments across staging and production clusters.

Implementation:Implemented GitOps workflow with pull-based deployments, policy checks, and environment overlays for reliable rollout control.

Problem:Teams lacked centralized visibility for latency, saturation, errors, and security events.

Implementation:Built unified dashboards, alert routing, and error budgets using Prometheus, Grafana, CloudWatch, and log correlation pipelines.

Problem:Manual infrastructure and release tasks were creating delays and configuration drift across teams.

Implementation:Developed a Python automation toolkit for environment bootstrapping, compliance checks, backup scheduling, and release guardrails integrated with CI pipelines.

Problem:Critical services needed improved resiliency and tested recovery workflows across cloud regions.

Implementation:Designed cross-region backup and recovery runbooks, automated failover checks, and monitoring-based recovery triggers for production workloads.