I’m a Senior Full Stack & Generative AI Engineer with 7+ years of experience building scalable web applications and AI-powered solutions.
My expertise includes React, Next.js, TypeScript, Go, Node.js, GraphQL, PostgreSQL, MongoDB, AWS, and Azure. I also specialize in Generative AI, developing applications using OpenAI APIs, LLMs, RAG, AI agents, Function Calling, and the Model Context Protocol (MCP).
I’ve built products in the logistics, hospitality, and healthcare industries, delivering secure, high-performance systems from frontend to backend and cloud infrastructure. I focus on clean architecture, maintainable code, and scalable solutions that solve real business problems.
Whether you need a modern SaaS application, a full-stack web platform, or AI features integrated into your existing product, I can help turn your ideas into reliable, production-ready software.
Skills
Experience Level
Work Experience
Education
Qualifications
Industry Experience
- Built booking and management features
- Developed GraphQL APIs
- Implemented WebSocket real-time updates
- Deployed on Microsoft Azure
- Created responsive UI with React and Vue.js
Developed a hotel reservation platform with an online booking system and administration dashboard.
Responsibilities
Technologies
React, Vue.js, Go, NestJS, GraphQL, Azure, WebSocket
- Developed responsive frontend with React and TypeScript
- Built Go REST APIs
- Implemented JWT/OAuth authentication
- Optimized MongoDB queries
- Added automated testing using Cypress
- Improved application performance through lazy loading and code splitting
Designed and developed a logistics platform for shipment tracking and delivery management.
Responsibilities
Technologies
React, TypeScript, Tailwind CSS, Go, MongoDB, JWT, OAuth, Cypress
- Designed and implemented the backend using Go and Node.js
- Integrated OpenAI API for intelligent response generation
- Built a RAG pipeline with pgvector for semantic search
- Developed REST APIs and authentication with JWT
- Built a responsive React + TypeScript frontend
- Optimized prompt engineering and response quality
- React
- TypeScript
- Go
- Node.js
- OpenAI API
- RAG
- pgvector
- PostgreSQL
- Docker
- GitHub Actions
- Reduced manual FAQ handling
- Improved response accuracy
- Faster customer support workflow
Developed an AI-powered customer support assistant that automates FAQ search and response generation using OpenAI GPT models and Retrieval-Augmented Generation (RAG).
Responsibilities
Technologies
Results
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