Computer Science Student (AI & ML) β’ Software Engineer β’ Entrepreneur
I build AI applications, backend systems, and automation tools to solve real-world problems.
An end-to-end Retrieval-Augmented Generation (RAG) application that enables users to upload PDF documents and ask natural-language questions grounded in the document content.
β¨ Key Features
- Parses and extracts text from multiple PDF documents
- Generates semantic vector embeddings using Sentence Transformers
- Stores and retrieves relevant context with FAISS
- Produces grounded responses through OpenRouter LLM APIs
- Supports conversational memory for follow-up questions
- Built with a modular architecture for easy extension and maintenance
- Interactive web interface developed with Streamlit
Tech Stack: Python, Streamlit, PyPDF2, Sentence Transformers, FAISS, OpenRouter API, Retrieval-Augmented Generation (RAG)
Built and launched a Shopify-based e-commerce business and scaled it to 40+ verified orders within three months.
Delivered web development and UI projects for individuals and small businesses.
- Smart India Hackathon β Internal Round Shortlist
- Built multiple end-to-end software projects
- Founder and technical lead of an e-commerce startup