Full-Stack Development
End-to-end apps with React/Next.js frontends and robust Spring Boot REST APIs on AWS
Spring Boot Backends
Scalable Java microservices with Spring Security, JPA, Kafka, and clean architecture patterns
RAG & AI Agents
Production RAG pipelines with vector search and autonomous agents that automate complex workflows
MCP & AWS Integrations
MCP servers connecting LLMs to real tools, deployed on scalable AWS cloud infrastructure
Full-Stack Engineer & AI Systems Builder
I build production-grade systems end-to-end — Spring Boot microservices on the backend, React / Next.js & Angular on the frontend, and AWS (EC2, ECS, RDS, S3, Lambda, CloudFront) powering the infrastructure. Docker, GitHub Actions, Oracle, MongoDB, and Maven are everyday tools in my workflow.
Beyond traditional engineering I architect AI-powered features: RAG pipelines with vector databases for context-aware knowledge retrieval, MCP servers that give LLMs structured, secure access to internal tools, and autonomous agents with LangChain / LangGraph that automate complex multi-step workflows.
Great products live at the intersection of clean backend architecture, reliable cloud infrastructure, and intelligent automation — and I bring all three to every engagement.
3+
Years Experience
10+
Projects Completed
5+
Satisfied Clients
10+
AWS Services Used
Spring Boot Microservices
- Domain-driven microservice architecture
- Spring Security with OAuth2 / JWT
- JPA, Hibernate, query optimisation
- Kafka event-driven communication
- Comprehensive unit & integration tests
AWS Cloud Architecture
- ECS / EC2 container deployments
- RDS, S3, CloudFront, Lambda
- Auto-scaling & load balancing
- CloudFormation infrastructure-as-code
- Cost optimisation & monitoring
RAG Systems
- Document ingestion & chunking strategy
- Pinecone / Weaviate / pgvector
- Hybrid search & cross-encoder reranking
- Citation-grounded, hallucination-reduced answers
- Evaluation pipelines (RAGAS)
MCP Integration
- Custom MCP server development
- Exposing internal APIs to LLMs securely
- GitHub, Notion, Linear MCP connectors
- Claude & OpenAI MCP client integration
- Tool schema design & validation
AI Agents
- Multi-step autonomous agent workflows
- LangGraph state-machine agents
- Tool-use, memory & planning loops
- Human-in-the-loop checkpoints
- Agent observability & tracing
Full-Stack Products
- React / Next.js with TypeScript
- Angular enterprise frontends
- Type-safe API contracts (OpenAPI)
- Responsive, accessible UI
- End-to-end from DB schema to deploy
Full-Stack & AI Engineer
Leading development of cloud-native Spring Boot microservices on AWS ECS with auto-scaling and zero-downtime deployments. Architected a production RAG system over 50k+ internal documents and shipped MCP servers connecting LLMs to internal tooling.
Full-Stack Developer
Built and maintained multiple client products using Spring Boot backends, React/Next.js frontends, and AWS infrastructure. Introduced Docker-based CI/CD pipelines via GitHub Actions, reducing deployment time by 40%.
Full Stack Developer (Intern)
Designed and implemented RESTful microservices with Spring Boot and Spring Security. Worked on Oracle and PostgreSQL schema design, query optimisation, and JPA/Hibernate performance tuning.
Web Developer (Intern)
Contributed to backend REST API development with Spring Boot. Gained foundational knowledge in microservices patterns, AWS deployment basics, and agile team workflows.
Always Learning
Keeping up with the LLM ecosystem — new model releases, emerging agent frameworks, and evolving MCP standards. The space moves fast; I move with it.
Mentoring
Helping junior developers navigate Spring Boot architecture, AWS best practices, and getting started with AI integrations through code reviews and pair programming.
Open Source
Contributing MCP server toolkits and Spring Boot starter templates to the community. Building in public when possible.
Skills & Expertise
A comprehensive overview of my technical capabilities and professional experience
React/Next.js★
Advanced state management, custom hooks, SSR/SSG
TypeScript
Type systems, generics, advanced patterns
Tailwind CSS★
Custom configurations, animations, responsive design
HTML/CSS★
Semantic HTML, CSS Grid, Flexbox, Animations
Vue.js/Nuxt.js
Reactive data binding, Composition API, SSR
Svelte/SvelteKit
Lightweight frontend framework, Compile-time rendering
JavaScript (ES6+)★
Advanced ES6+, Closures, Promises, Functional Programming
Three.js
3D animations, WebGL rendering, VR/AR integrations
Framer Motion
Interactive UI animations, Gesture-based interactions
GraphQL (Apollo)
Efficient data fetching, Query optimization
D3.js
Data visualization, SVG manipulation, Charts & Graphs
Web Components
Custom elements, Shadow DOM, Reusable UI Components
Electron.js
Cross-platform desktop apps, Node.js integration
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 →