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  • Rishihood University
  • Dehradun
  • 14:12 (UTC -12:00)
  • LinkedIn in/aarsh-abhi7

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abhi-7-7/README.md

🧠 About Me

aarsh = {
    "name": "Aarsh Bhatnagar",
    "role": "CS & AI Student β€’ 2nd Year",
    "focus": ["Agentic AI", "RAG Pipelines", "Full-Stack Web", "LLM Fine-tuning"],
    "currently_building": "AI systems that are usable in real productsβ€”not just notebooks",
    "philosophy": "data β†’ tokenize β†’ train β†’ evaluate β†’ deploy β†’ ship",
    "open_to": ["Collaborations", "Internships", "Open Source"]
}

🌟 Featured Projects

πŸ€– GenAI – ChurnGuard

Telecom churn prediction with ML + Agentic AI, RAG pipeline, LangGraph workflows, and a live Streamlit dashboard.

🎀 InterviewIQ

AI mock interview platform with voice interviews, resume analysis, real-time feedback, and Razorpay payment integration.

πŸ“ Exam Notes Generator

Full-stack AI app that auto-generates structured exam notes from documents using OpenAI.

πŸ—οΈ System Design Capstone

Full-stack TypeScript app with JWT auth, class-based React, Prisma ORM, Neon PostgreSQL, deployed on Vercel.


πŸ› οΈ Tech Stack

Languages

Python JavaScript TypeScript Java HTML5 CSS3

AI / ML

LangGraph OpenAI scikit-learn Pandas Streamlit

Frontend & Backend

React Next.js Node.js Express Tailwind CSS

Databases & Tools

PostgreSQL MongoDB Prisma Git Vercel


πŸš€ What I'm Focused On (2026)

Area What I'm Learning
πŸ€– Agentic AI & LLMs LangGraph workflows, RAG pipelines, LLM fine-tuning, prompt engineering
🌐 Full-Stack Web End-to-end apps: clean UI β†’ REST APIs β†’ database β†’ deployment
πŸ“Š ML Engineering Loss curves, training loops, experiment tracking, model evaluation
πŸ“€ System Design Scalable APIs, DB design, JWT auth patterns, cloud deployment

🀝 Open to Collaborate On

  • πŸ€– ML / LLM projects (agentic workflows, RAG, fine-tuning)
  • 🌐 Full-stack apps that integrate AI features
  • πŸ“Š Data tools and dashboards
  • 🧩 Tools that solve real problems and are actually useful

Pinned Loading

  1. AI-Project AI-Project Public

    Audio emotion classification using Python β€” modular signal processing pipeline with ML model

    Python

  2. Exam_Notes_Generator Exam_Notes_Generator Public

    AI-powered exam notes generator β€” full-stack app with React frontend and Node.js backend

    JavaScript

  3. GenAi GenAi Public

    Telecom customer churn prediction using ML + AI agent workflow with RAG pipeline and Streamlit dashboard

    Jupyter Notebook 1

  4. Interview_AI Interview_AI Public

    AI-powered mock interview platform with resume analysis, voice interviews, real-time feedback, and Razorpay payment integration

    JavaScript

  5. System_Design_Capstone System_Design_Capstone Public

    Full-stack TypeScript capstone with JWT auth, React class components, Prisma ORM, Neon PostgreSQL, deployed on Vercel

    TypeScript 1