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About
Computer Science student at Amirkabir University of Technology (Tehran Polytechnic), genuinely excited to be learning AI/ML hands-on. I'm still early in this journey, coming from a full-stack background, and I'm eager to keep growing — right now that means going deep on retrieval-augmented generation and applied deep learning through real, hands-on projects rather than just coursework.
Read more about my backgroundSelected Work
Featured Projects
A production-oriented RAG system alongside full-stack work that demonstrates the engineering discipline behind it.
Django RAG Engine
A retrieval-augmented generation platform: users upload documents, the system chunks and embeds them, stores vectors in FAISS, and answers questions grounded in that content to reduce hallucination — with model switching across GPT-4o, Claude, Gemini, and Llama via OpenRouter.
- Document ingestion pipeline: text extraction, semantic chunking, embedding generation
- FAISS vector store for semantic similarity search over document chunks
- Multi-model support (GPT-4o, Claude, Gemini, Llama) through OpenRouter
- Containerized with Docker and Docker Compose for reproducible deployment
- REST API layer plus an admin dashboard for document management
Weekly Planner
A full-stack task-management application demonstrating end-to-end ownership of a typed web application: schema design, API routes, and a typed data layer connecting the database to the UI.
- Next.js API routes backing a relational schema modeled with Prisma
- Type-safe data flow from database to UI with TypeScript end-to-end
- Evidence of full-stack ownership: schema design through UI implementation