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. I treat AI as an engineering discipline — tested, observed, and production-ready.
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 — eliminating manual data-lookup workflows entirely.
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%. Integrated OpenAI APIs for smart search and content generation features.
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. Deployed services to AWS EC2 and RDS with infrastructure-as-code.
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. First exposure to Angular for full-stack feature delivery.
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.