Yash Nema

Hi, I'm Yash 👋

I'm a Computer Science undergraduate passionate about building intelligent systems using AI/ML and backend engineering. I enjoy solving real-world problems by combining machine learning with scalable software systems.

I have experience working with Python, Deep Learning (PyTorch), FastAPI/Django, Docker, and Linux, and I enjoy building end-to-end AI applications.

Some projects and achievements I'm proud of:

• 🧠 Neonatal Jaundice Detection System – Built a CNN-based deep learning system for detecting jaundice in newborns. The project won 1st Prize at the IDT Hackathon and is currently being integrated with Raspberry Pi for real-world deployment.
• 🤖 Agentic Research System using LangGraph – Designed a multi-agent AI pipeline that gathers information from the web and generates structured answers using LangChain and RAG.
• 📄 RAG-based PDF Intelligence System – A FastAPI backend that allows users to query PDFs using retrieval-augmented generation.
• 🚗 Car Price Prediction Web App – ML model deployed through a web interface for predicting used car prices.

I enjoy participating in hackathons, open-source projects, and competitive programming, and I'm currently working toward contributing to GSoC and advanced AI systems.

I'm especially interested in AI infrastructure, machine learning systems, and building impactful AI products.