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 AI-powered 3D mission control dashboard with real-time NASA telemetry, orbital mechanics, and a conversational AI co-pilot — turning raw space data into an immersive interactive command center.
✨ Key Features
- Real-time 3D solar system with Keplerian elliptic orbits and 16 moons
- Conversational AI co-pilot — navigate, explain, and quiz via natural language
- 14 live data panels from NASA, NOAA, and JPL APIs
- Agentic AI pipeline with intent classification, tool-use, and streaming SSE
- Adaptive curriculum with 9 progressive lessons
Tech Stack: Next.js, Three.js, FastAPI, NVIDIA API, Agentic AI, NLP, TypeScript
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
