π Currently building production-ready AI systems with LangGraph, FastAPI, Gemini, Qdrant, and React.
Name: Aryan Raj
Education:
Bachelor of Technology (Electronics & Communication Engineering)
Interests:
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models
- Agentic RAG
- Backend Development
Currently Building:
- Agentic AI Travel Planner
Learning:
- Kubernetes
- AWS
- MLOps
Open To:
- Software Engineer
- AI Engineer
- Machine Learning EngineerI enjoy building intelligent software powered by AI and scalable backend technologies.
My primary interests include:
- π€ Generative AI
- π§ Large Language Models
- π Retrieval-Augmented Generation (RAG)
- β‘ FastAPI
- π Full Stack Development
- π Machine Learning
- β Cloud Deployment
I love transforming ideas into production-ready applications that solve real-world problems.
"Build systems that solve problemsβnot just code that compiles."
A selection of projects showcasing my work in AI, Machine Learning, Full Stack Development, and Intelligent Systems.
An intelligent travel planning platform that leverages Agentic AI, Hybrid RAG, LangGraph, and real-time APIs to generate personalized travel itineraries with contextual recommendations.
An intelligent RAG-based teaching assistant capable of answering course-related questions using semantic retrieval and LLM-powered responses.
Tech
A full-stack Machine Learning application for predicting California housing prices using a trained Random Forest model.
Tech
β¨ Production-ready AI applications
π Deployed full-stack projects
β‘ FastAPI + React architecture
π€ Agentic AI & Hybrid RAG
π Machine Learning & Data Science
β Cloud deployment using Render & Netlify
