Production systems built with Spring Boot, AWS, React, and AI — from architecture to deployment.
Trident Solutions Web App
Enterprise web application for Trident Solutions — built with a Spring Boot backend, PostgreSQL database, and React frontend, deployed on AWS EC2 with CI/CD.More details..
FoodsAffair Catering
Full-stack catering platform with real-time order tracking, multi-location support, and seamless payment integration — Spring Boot API on AWS ECS.More details..
Vorexia Language Practice
AI-powered language learning platform with RAG-driven personalised lessons, real-time pronunciation feedback, and a Spring Boot WebSocket backend.More details..
KumudM Solutions
Enterprise tech solutions platform — Spring Boot microservices, Next.js frontend, MCP-integrated AI chatbot, and PostgreSQL on AWS RDS.More details..
ExploreJourney Dashboard
Social travel dashboard with post scheduling, engagement analytics, and an AI agent for content recommendations — backed by a Spring Boot REST API.More details..
FoodsAffair Events
Premium wedding & large-scale event catering platform with online booking, customised menus, and an AI-powered event planning assistant via RAG pipeline.More details..
AI Voice Changer
Real-time AI voice modulation with deep learning — transforms tone, accent, and character voice live. Spring Boot orchestration layer on AWS Lambda.More details..
Deep dives into Spring Boot, AWS cloud architecture, RAG systems, MCP, and AI agents.
Building Production-Ready Microservices with Spring Boot 3
A deep dive into domain-driven design, Spring Security JWT flows, JPA optimisation, and deploying containerised services to AWS ECS with zero downtime.
Read moreRAG in Production: Chunking, Reranking & Evaluation at Scale
Everything I learned shipping a RAG system over 50k+ documents — chunking strategy, hybrid search, cross-encoder reranking, and measuring quality with RAGAS.
Read moreBuilding Your First MCP Server: Give Your LLM Real Tools
Step-by-step guide to building an MCP server in TypeScript that exposes your Spring Boot APIs to Claude or any MCP-compatible model — no prompt hacks needed.
Read moreWorkshops, webinars, and hackathons on Spring Boot, AWS, RAG, MCP, and AI agents.
Spring Boot + AWS Workshop
Online WorkshopHands-on session covering Spring Boot microservices, Docker containerisation, and deploying to AWS ECS — from zero to production in 3 hours.
RAG Systems & AI Agents Webinar
Live WebinarBuilding production RAG pipelines and autonomous agents: architecture decisions, common failure modes, and what actually works at scale.
MCP Open Source Hackathon
HackathonA community hackathon to build and publish MCP servers for popular developer tools. Open to all — solo or team.
Real outcomes from real projects — Spring Boot, AWS, RAG, MCP, and AI agents in production.
“Rahul delivered a Spring Boot microservices platform that handles thousands of requests daily without a hiccup. He also integrated a RAG-powered support assistant that cut our ticket resolution time by 60%. Truly production-quality work.”
“He migrated our monolith to AWS ECS with zero downtime, then built an MCP server giving our LLM real-time access to internal tools. Incredible technical range — from Java architecture to cutting-edge AI integration.”
“React frontend, Spring Boot API, AI agent for onboarding — all shipped on AWS on schedule. Rahul brings both backend rigour and AI product thinking. Highly recommended.”
Open source, mentoring, and AI engineering community involvement.
Open Source Contributions
MCP server toolkits, Spring Boot starter templates, and RAG pipeline utilities published on GitHub for the community.
View GitHub →Mentoring Developers
Helping junior engineers navigate Spring Boot architecture, AWS best practices, and LLM integration via code reviews and pair programming sessions.
Connect on LinkedIn →AI Community
Active contributor to discussions on RAG evaluation, MCP standardisation, and agent reliability in production AI engineering communities.
Join the Community →Got a Spring Boot API to build, an AWS architecture to design, a RAG pipeline to ship, or an AI agent to architect? Let's talk — I'm always open to interesting engineering challenges.