Source: https://princethummar.vercel.app/llms.txt

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Prince Thummar is an AI Developer and Computer Engineering student graduating in 2027 from Rajkot, Gujarat, India. He specializes in building scalable AI systems, implementing Retrieval-Augmented Generation (RAG) pipelines, optimizing performance, and developing autonomous agents.

## Key Profiles
- **Website**: https://github.com/PrinceThummar011
- **Email**: princethummar2005@gmail.com
- **LinkedIn**: https://www.linkedin.com/in/prince2005
- **GitHub**: https://github.com/PrinceThummar011
- **Twitter/X**: https://x.com/_Prince_011_

## Professional Summary
Passionate AI Developer and Computer Engineering student with hands-on experience in building Gen AI applications, RAG workflows, and Agentic solutions. Proficient in Python, LangChain, LangGraph, FastAPI, and data science libraries like Pandas, NumPy, and Scikit-learn. Dedicated to solving complex problems through continuous learning, rapid experimentation, and optimizing performance.

## Skills & Technologies
- **AI & LLM Stack**: LangChain, LangGraph, RAG, FAISS Vector Search, Groq, LLaMA, Agentic Systems.
- **Programming / Scripting**: Python, C, TypeScript, JavaScript, SQL.
- **Web Technologies**: React, Next.js, FastAPI, Tailwind CSS, Supabase.
- **Data Science & ML**: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter.
- **Databases & Tools**: MySQL, SQLite, ChromaDB, Git, GitHub.

## Work Experience
- **Gen AI Intern — Xcelcode** (September 2025 - March 2026)
  Developed a Retrieval-Augmented Generation (RAG) pipeline to enable semantic search over internal documents, using Python, LangChain, and ChromaDB vector database. Built scalable API endpoints with FastAPI.

## Key Projects
- **DocuChat**: A document chat application allowing users to upload PDF, DOCX, or TXT files and interact with them. Built a full RAG pipeline featuring FAISS vector search, MMR retrieval, and Groq's LLaMA.
  - Deploy: https://docuchat-by-prince.streamlit.app/
  - GitHub: https://github.com/PrinceThummar011/Docuchat
- **ExpenseTracker MCP Server**: A natural language expense tracking server. Built an MCP server that plugs straight into Claude Desktop, Cursor, or Gemini CLI, enabling local SQLite-backed tracking.
  - GitHub: https://github.com/PrinceThummar011/Expensetracker-MCPserver
- **Movie Recommender System**: A content-based movie recommendation engine utilizing TF-IDF and cosine similarity. Fetches live posters and details from the TMDb API.
  - Deploy: https://movie-recommender-system-by-prince.streamlit.app/
  - GitHub: https://github.com/PrinceThummar011/movie-recommender-system
- **Analytics AI**: An AI-powered data analysis tool enabling users to upload CSV or Excel files and query their datasets in plain English. Powered by Groq's LLaMA 3.
  - GitHub: https://github.com/PrinceThummar011/analytics_ai

## Education
- **Bachelor of Engineering in Computer Engineering** — Government Engineering College, Rajkot (2023 - 2027)
  Final year student, graduating in 2027. Current CGPA: 8.30 (up to 5th Semester).
- **Higher Secondary Certificate (Science)** — M N J Patel High School (2021 - 2023)
  State Board. Percentage: 72%
- **Secondary School Certificate** — M N J Patel High School (2021)
  State Board. Percentage: 90%

## Developer Utilities & Workspace Setup
Prince's core systems, utilities, and developer configurations:
- **System & OS**: Linux (Ubuntu)
- **Development Environment**: VS Code, Cursor, Git, Vercel, Hugging Face, Docker & Compose, Antigravity IDE, uv, Google Colab
- **AI Stack & Agents**: Claude Code, OpenCode, Codex, Ollama

## Contact & Get in Touch
- **Email**: princethummar2005@gmail.com
- **Socials**: Active profiles on GitHub, LinkedIn, and Twitter/X (links available in key profiles).
- **Website Form**: Visitors can use the interactive contact card and chat system on the home page.