12+ years designing distributed cloud systems, scaling engineering teams, and leading digital transformation at enterprise scale.
Principal Product Architect with 12+ years of expertise in distributed systems, full-stack cloud architecture, and microservices modernization. I am a validated Google Developer Expert (Cloud) and Cloud Champion Innovator, recognized for bridging technical depth with business outcomes.
I specialize in migrating legacy monoliths to scalable, containerized environments (GKE/Cloud Run) and building Agentic AI workflows with Gemini and Vertex AI. My approach prioritizes security-first engineering to ensure enterprise-grade compliance with zero critical vulnerabilities.
Years Experience
Microservices
Effort Reduced
Vulnerabilities (VAPT)
Recognized for technical authority in GKE, Cloud Run, and Serverless architectures.
Global recognition for top-tier contributions to the Google Cloud ecosystem.
Received the highest recognition at Dista's inaugural awards ceremony for long-term contribution, architectural excellence in location intelligence, and scaling the core engine.
View LinkedIn Recognition →Migrated monolith to GKE/Cloud Run & designed no-code frameworks. Cloud & Security Leadership.
Optimized logistics routing & built location intelligence algorithms. High-Performance Geo-Analytics.
Built real-time school communication platform. Full-Cycle Product Development.
Developed insurance comparison web application. End-to-End Product Ownership.
Built school collaboration platform. Stakeholder-Centric Design.
Computer Science. Focus on Distributed Systems and Algorithms.
Manual open-source license auditing was a bottleneck, consuming 40+ hours per release cycle with high risk of human error.
Architected an autonomous GenAI agent using Vertex AI & Gemini Pro that recursively analyzes dependency trees and validates licenses against corporate policy.
Client onboarding for the Dista logistics platform required weeks of custom frontend engineering, delaying revenue recognition.
Designed a JSON-driven UI rendering engine that allows solution engineers to configure complex workflows without writing code.
Legacy Java microservices lacked native SSL termination and modern authorization, but refactoring them posed significant regression risks.
Implemented a multi-container Cloud Run architecture using Nginx sidecars to handle TLS/Auth, decoupling security from the application layer.
Deep dive into building autonomous agents for enterprise compliance using Google's latest AI stack.
#CloudSecurityPractical guide to securing legacy Java workloads using modern sidecar patterns in Cloud Run.
#ArchitectureBest practices for designing scalable distributed systems on GCP. (Simulated)