Full-Stack AI Developer focused on building intelligent, production-ready AI-powered web applications.
I started in traditional full-stack development and extended that foundation into AI application engineering. Today I design systems that combine solid software engineering practices with intelligent features so AI capabilities sit inside modular architecture, secure APIs, and products that are reliable enough to ship.
I apply full-stack engineering practices to AI-powered products with LLM integration, retrieval pipelines, and secure application backends so teams can maintain and extend.
Integrating Google Gemini into full-stack apps for multi-turn chat, content assistance, and Q&A flows with clear API boundaries and server-side control of model calls.
Building RAG pipelines for PDF question answering: document chunking, embeddings, semantic retrieval, and context assembly before grounded LLM responses.
Designing prompts and conversation context for reliable multi-turn interactions, including history management and structured request/response handling in chat and Q&A products.
Structuring modular frontends and backends with clear API and data layers so AI features sit inside maintainable application boundaries.
Implementing authentication and protected API routes so LLM and retrieval endpoints are accessed through controlled, production-minded server logic.
Modeling relational data for users, conversations, and application state keeping chat history, auth, and domain data queryable alongside AI workflows.
Selected full-stack and AI application projects. Each one focuses on architecture, APIs, and shipping working systems—not demos alone.
Engineering skills spanning full-stack web development and AI application work with LLMs, retrieval, and the systems that make those features production-usable.
Built course and training projects across the full stack: React UIs, Express REST APIs, relational databases, and authentication. Applied data structures, algorithms, and software design fundamentals to real application work.
Designed and deployed AI-powered and full-stack products, including Gemini-based chat, a RAG-enabled Q&A platform with semantic search, and an e-commerce system with Stripe. Focused on modular APIs, auth, persistence, and integrating LLM/retrieval features into maintainable application architecture.
B.Sc. Computer Science. Studied data structures, algorithms, operating systems, OOP, and databases, and applied them in full-stack and AI application projects.
Completed intensive preparatory studies in mathematics, computer science, to qualify for academic degree studies.