E-Commerce Platform
High-throughput e-commerce platform serving millions of users. Built with Node.js microservices, Angular frontend, and Kafka for real-time inventory and order processing.
Node.js · Angular · Kafka · AWS
Hello, I'm
20+ years building scalable cloud & full-stack solutions across e-commerce and banking. AI enthusiast.
I'm a seasoned software engineer with over two decades of experience architecting and delivering large-scale systems across cloud platforms (AWS & Azure) and the full web stack.
My core expertise spans Node.js, Angular, Apache Kafka, and Spring Boot — building everything from high-throughput event-driven backends to responsive single-page applications.
I've spent 16 years in the e-commerce domain, building platforms that handle millions of transactions, and several years in banking, where security, compliance, and reliability are non-negotiable.
Beyond the day job, I'm an AI enthusiast — exploring how machine learning and generative AI can transform software architecture, developer productivity, and customer experience.
Actively building with LLMs, RAG pipelines, and AI agents. Exploring how generative AI can reshape developer tooling, intelligent automation, and customer-facing features at scale.
Delivered secure, compliant, high-availability systems for the banking sector. Built event-driven architectures with Kafka, hardened APIs, and ensured regulatory compliance across financial workflows.
Architected and scaled e-commerce platforms handling millions of transactions. Built with Node.js, Angular, Spring Boot, and Kafka. Owned everything from checkout flows to inventory management and real-time analytics.
Built a deep foundation across AWS and Azure, designing cloud-native architectures, CI/CD pipelines, and microservices. Shipped production systems across web, mobile, and backend for startups and enterprises alike.
High-throughput e-commerce platform serving millions of users. Built with Node.js microservices, Angular frontend, and Kafka for real-time inventory and order processing.
Secure, compliant transaction processing system built on Spring Boot with Kafka event streaming. Ensured high availability, audit trails, and regulatory compliance.
Generative AI assistant using RAG architecture and LLM integration. Built to answer domain-specific queries with vector search and contextual retrieval.
Led migration of legacy monoliths to cloud-native microservices on AWS and Azure. Implemented Infrastructure-as-Code with Terraform and automated CI/CD.
Event-driven analytics pipeline processing millions of events/day via Kafka. Visualized with Angular and powered by Elasticsearch for instant search and insights.
Centralized API gateway with OAuth2, rate limiting, and JWT-based auth. Built with Spring Boot and deployed on Kubernetes across multi-region Azure clusters.
Whether it's a cloud architecture challenge, a full-stack build, or an AI-driven idea — I'd love to hear about it.