Profile
RahulPandey
|
WhatIDo

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

WhyChooseMe

Production-Grade Java

Spring Boot services built with solid architecture, proper exception handling, and comprehensive test coverage

Cloud-Native on AWS

EC2, ECS, Lambda, RDS, and S3 — infrastructure-as-code with auto-scaling and zero-downtime deploys

AI-Powered Features

RAG pipelines, MCP-connected LLMs, and autonomous agents integrated directly into your product

WhatClientsSay
Sarah Johnson

Sarah Johnson

CEO at TechCorp

Rahul delivered a Spring Boot microservices platform that handles thousands of requests daily. He also wired in a RAG-powered support assistant that cut ticket resolution time by 60%.

Michael Chen

Michael Chen

CTO at StartupX

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 range.

Emily Davis

Emily Davis

Product Manager

React frontend, Spring Boot API, AI agent for onboarding — all shipped on AWS on time. Rahul brings both backend rigour and AI product thinking.

Achievements
1M+
Lines of Code
10+
Projects Delivered
2+
Awards Won
Coffee Consumed
3+
Happy Clients
100+
GitHub Stars
CoreSkills
React / Next.js87%
TypeScript85%
Tailwind CSS90%
FeaturedProjects
FoodsAffair Catering

FoodsAffair Catering

Full-stack catering platform with a Spring Boot backend, real-time order management, and PostgreSQL — deployed on AWS ECS with a CI/CD pipeline.

Spring BootNext.jsPostgreSQLAWS ECS
Vorexia Language Practice

Vorexia Language Practice

AI-powered language practice platform with a Spring Boot WebSocket backend, RAG-driven feedback engine, and real-time conversations on AWS.

Spring BootReactRAGAWS
KumudM Solutions

KumudM Solutions

Enterprise tech platform delivering web, mobile, and MCP-integrated AI chatbots — built on a Spring Boot microservices backbone with AWS hosting.

Spring BootNext.jsMCPAWS S3
HowIWork

1. Discussion

Mapping your requirements — from Spring Boot service design to AI use cases and AWS infra needs

2. Architecture

Designing the service layer, database schema, AWS setup, and any RAG or MCP integration contracts

3. Development

Clean Java backend, polished React frontend, and AI features built iteratively with your feedback

4. Deploy to AWS

CI/CD pipeline to AWS with monitoring, auto-scaling, and zero-downtime deployments from day one

99%
Uptime on AWS
10+
Projects Delivered
5+
Microservices Built
3+
Years Experience

Ready to Start Your Project?

Let s work together to bring your ideas to life with modern web technologies and beautiful design.