Reduced client cloud infrastructure costs by 70% by re-architecting to DNS-based Kubernetes (GKE) deployments, eliminating legacy VPN-based routing.

Designed and implemented a GCP-native CI/CD pipeline using Cloud Build and Cloud Run, reducing deployment lead time from 40 minutes to 7 minutes with zero-downtime traffic splitting and automated rollbacks.

Built an end-to-end observability and monitoring stack using Managed Prometheus and Grafana, reducing Mean Time to Detect (MTTD) from 25 minutes to 4 minutes; configured 12 alert policies with linked runbooks.

Implemented DevSecOps best practices: eliminated service account key files using Workload Identity Federation, integrated Secret Manager with auto-rotation, and enforced Binary Authorization admission control policies blocking 100% of non-compliant Kubernetes deployments.

Automated provisioning of 40+ GCP resources using reusable Terraform modules, reducing manual provisioning time from days to under 10 minutes with zero configuration drift across environments.

Strengthened cloud security posture through IAM policy hardening, VPC Service Controls (VPC-SC), data encryption, and Private Service Connect (PSC) integrations to enforce data governance.

Integrated Vertex AI and Agent Development Kit (ADK) to enable Generative AI-powered automation, supporting cloud modernization initiatives.

Provided L2/L3 production support for enterprise clients, ensuring High Availability (HA), SLA compliance, and performance optimization of critical cloud workloads.

Led frontend modernization of a large-scale legacy Angular application, migrating to Angular Signals for improved reactivity and performance.

Architected and deployed production-grade frontend applications using React, TypeScript, and Astro, with optimized delivery via Firebase Hosting and CDN.

Integrated RESTful frontend clients with Java-based backend microservices APIs, following SOLID principles and enterprise design patterns (MVC, Repository, Factory).