LangGraph | LangSmith | RAG Systems | FastAPI | Django | React & Next.js | Vector & Graph Databases
I’m a Full Stack AI Engineer specializing in building intelligent, end-to-end applications that combine advanced AI systems with robust full-stack architecture.
My focus is on developing scalable, production-ready systems that seamlessly integrate LLMs (OpenAI), LangGraph, and Retrieval-Augmented Generation (RAG) pipelines to deliver real-world impact through automation, knowledge management, and AI-driven experiences.
I bridge the gap between AI research and software engineering, transforming cutting-edge models into reliable, maintainable, and high-performing products.
- AI Systems: LangGraph, LangSmith, Retrieval-Augmented Generation (RAG), Large Language Models, OpenAI API, Intelligent Automation
- Backend Development: FastAPI, Django, Flask, RESTful API Design, Authentication, OAuth2
- Frontend Development: React.js, Next.js, JavaScript, TypeScript, Responsive UI Development
- Databases: PostgreSQL, Redis, Vector Databases (Weaviate), Graph Databases, SQL
- DevOps & Tools: Docker, GitHub, CI/CD, Postman, Insomnia, Apache
- Software Architecture: Scalable API Design, Data Pipelines, Full-Stack Integration, Production Deployment
“Code is not the goal — value is.”
I believe in designing systems, not scripts — writing code that scales, communicates, and delivers measurable results.
My approach balances AI innovation with engineering discipline, ensuring every system I build is efficient, observable, and production-ready.
- Advancing stateful multi-agent architectures using LangGraph
- Exploring Graph + Vector hybrid search for contextual intelligence
- Enhancing LLM-powered automation pipelines for enterprise use cases
💡 “Building intelligent systems that make technology think — and people work smarter.”