Open to opportunities

Yug Panchal

@yugpanchal

Message

I build full-stack AI assistants with RAG, LLM integrations, and reliable APIs.

India

Message

What I'm looking for

I’m looking for a role where I can build production-ready full-stack applications powered by RAG/LLMs—shipping clean REST APIs, strong prompt engineering, and scalable deployments while growing with a collaborative team.

I’m a Computer Engineering student building practical AI products end-to-end, from RAG pipelines to full-stack deployment. I’m especially focused on semantic search, multi-turn conversational memory, and production-ready REST APIs.

With NotePilot AI, I engineered a RAG pipeline using FAISS vector indexing and Sentence Transformers embeddings to deliver semantic Q&A from uploaded PDF notes. I integrated Groq LLM APIs to power AI study modules—conversational chat, auto-generated notes, flashcards, MCQ quizzes, revision questions, and a mock viva simulator—with a FastAPI backend for parsing, inference, and analytics.

I also built Vitas AI, a medical & ayurvedic healthcare chatbot using Django and PostgreSQL with a unified RAG pipeline (ChromaDB + Sentence Transformers). Alongside AI, I create application foundations like FreshCart, a MERN e-commerce platform with JWT authentication, Stripe webhooks, and deployments on Render.

Experience

Work history, roles, and key accomplishments

NotePilot AI

Jan 2026 - Present (6 months)

Engineered a RAG pipeline using FAISS vector indexing and Sentence Transformer embeddings to enable semantic Q&A from uploaded PDF notes with multi-turn conversational memory. Built a FastAPI backend integrating Groq LLM APIs for multiple study modules and deployed the app on Render.

fastAPI Python Faiss Sentence Transformers GROQ RAG Conversational Memory Semantic Search Deploying

Vitas AI

Jan 2025 - Present (1 year 6 months)

Developed a full-stack AI healthcare chatbot using Django and PostgreSQL, integrating medical and Ayurvedic conversational assistants with a unified RAG pipeline for semantic search across uploaded PDFs and images. Implemented AI routing across domain-specific models and Groq Llama inference, including OCR-based ingestion and secure authentication with persistent conversation history.

Python Django PostgreSQL ChromaDB GROQ Llama.Cpp Sentence Transformers JavaScript RAG Semantic Search PyPDF2 Django Allauth Prompt Engineering LLamacpp

FreshCart

Jan 2024 - Present (2 years 6 months)

Built a full-stack MERN e-commerce platform with JWT authentication, seller dashboard features, and multi-image uploads. Integrated Stripe payments with webhook support and designed REST APIs for authentication, products, cart, and orders, deploying on Render.

MongoDB Atlas JWT Cloudinary Stripe Render REST APIs Webhooks Multer Database Integration

Education

Degrees, certifications, and relevant coursework

Shah and Anchor Kutchhi Engineering College

Bachelor of Technology (B.Tech), Computer Engineering

Grade: 8.0/10

Activities and societies: Notable projects: NotePilot AI (RAG study assistant), Vitas AI healthcare chatbot (RAG with OCR), FreshCart (MERN e-commerce with Stripe).

B.Tech in Computer Engineering at Shah and Anchor Kutchhi Engineering College; CGPA 8.0/10 (expected June 2026).