Computer Science Student (AI & ML) • Software Engineer • 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.
✨ 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, RAG
An agentic, NLP-driven space monitor that combines real-time 3D visualization with natural language understanding — letting users explore and query live space data through conversational AI instead of traditional dashboards.
✨ Key Features
- Real-time 3D space visualization powered by Three.js
- Natural language querying via MiniMax M2 (OpenRouter API)
- Agentic AI pipeline with multi-step reasoning and autonomous workflows
- FastAPI backend handling real-time data processing and API orchestration
- Full-stack architecture connecting Next.js frontend to AI backend seamlessly
Tech Stack: Next.js, Three.js, FastAPI, OpenRouter API, MiniMax M2, NLP, Agentic Workflows
Built and launched a Shopify-based e-commerce business and scaled it to 40+ verified orders within three months.
Delivered web development, video editing, and content strategy for 15+ creators and brands including Slashy (YC S25), generating 85M+ views and 500K+ followers across platforms.
- Smart India Hackathon — Internal Round Shortlist
- Built multiple end-to-end AI and software projects
- Founder and technical lead of a live e-commerce platform
