I'm a Full Stack Developer focused on building real-world applications, scalable backend systems, and AI-powered products.
My main strength is backend development β designing REST APIs, authentication systems, database models, file-processing pipelines, background jobs, and application architecture.
I work primarily with the MERN stack and enjoy going beyond basic CRUD applications by thinking about how systems behave in production: security, validation, error handling, performance, CI/CD, scalability, and maintainability.
I'm also exploring AI engineering, particularly LLM applications, RAG pipelines, embeddings, vector databases, and intelligent document/PDF processing.
I like understanding how systems work under the hood, not just making them work.
Exploring: LLM Applications β’ RAG β’ LangChain β’ Embeddings β’ Vector Databases β’ Pinecone
A full-stack platform designed to connect users with local printing shops and simplify the process of submitting and managing print jobs.
- π Authentication & role-based access
- π€ Separate user and shop-owner workflows
- π File uploads & PDF processing
- π¨οΈ Print-job management
- π° Dynamic print-price calculation
- β‘ REST APIs with Node.js & Express
- ποΈ MongoDB data modeling
- π Real-time job/status communication
- π³ Docker & deployment
- π CI/CD and code-quality checks
- π‘οΈ Production-focused validation and error handling
The project has pushed me beyond simply building features and into understanding application architecture, debugging, security, deployment, and production code quality.
I'm particularly interested in building systems that combine traditional software engineering with AI.
- π§ LLM applications
- π Retrieval-Augmented Generation (RAG)
- π Embeddings & semantic search
- ποΈ Vector databases
- π Intelligent PDF/document processing
- π LangChain
- β‘ Redis & BullMQ
- ποΈ Backend architecture
- βοΈ Cloud deployment
- π Authentication & authorization
- π Asynchronous/background processing
π Building production-quality full-stack applications
βοΈ Improving backend architecture and system design
π€ Building practical AI/RAG applications
π Working with intelligent document and PDF processing
π Learning production-grade authentication and security
π³ Improving deployment, Docker, CI/CD and DevOps workflows
π§ͺ Writing cleaner, more maintainable and reliable code
- TypeScript
- Next.js
- LangChain
- RAG architectures
- Vector databases
- LLM application development
- Redis & BullMQ
- Docker & cloud deployment
- System design
- Production-grade backend engineering
Code β’ Understand β’ Build β’ Improve


