- 🎓 Pre-Final year B.Tech (ECE) student at IIIT Nagpur
- 🔭 Built AgentOdyssey — a multi-agent AI travel planner (LangGraph + Groq + LLaMA 3.3 70B)
- 🌱 Currently levelling up in GenAI · LLMs · Agentic AI · MCP · Fine-Tuning · Machine Learning · System Design
- 💬 Ask me about Python · Django · LangChain · RAG Pipelines · GenAI · LLMs · Agentic AI · MCP · Fine-Tuning · Machine Learning · XGBoost · Docker/Kubernetes
- 📫 Reach me at prajapati.ayush.27@gmail.com
I'm a Python Backend Developer who is actively learning and exploring Machine Learning and Generative AI. I have hands-on knowledge of building RAG (Retrieval-Augmented Generation) pipelines, working with LLMs, and experimenting with AI Agents and Agentic AI workflows using frameworks like LangGraph and CrewAI. I've also explored MCP (Model Context Protocol) and Fine-Tuning concepts as I grow deeper into the AI/ML space.
Languages & Backend
Frontend
ML / Data Science
AI / LLM
DevOps & Infra
| Project | Description | Stack |
|---|---|---|
| AgentOdyssey | Multi-agent AI travel planner with real-time flight & hotel search | LangGraph · Groq · PostgreSQL · Streamlit |
| BurnCalc | Calories predictor — R² 0.9988 on 15K+ records, full-stack ML app | XGBoost · Django · Docker · K8s |
| ResumePro AI | ATS Resume Score Checker built on a RAG pipeline | LangChain · FAISS · FastAPI · React |