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rishav23av/README.md
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who am i

name:       Rishav
born:       11 Oct 2004
location:   Delhi, India 🇮🇳
role:       CS Student → AI Builder
setup:      MacBook Pro M4 Pro + Linux Mint
obsession:  Making LLMs actually do useful things

🎂 Age: 21 (auto-updates every birthday)

I build things that matter — LLM-powered agents, intelligent automation, and real-world web apps. Not just tutorials and toy projects. Actual stuff that works.

Currently deep into AI Agents, Generative AI systems, and modern full-stack development with React + TypeScript. Always shipping, always learning.

"The best way to predict the future is to create it." — Alan Kay


🧠 What I Build

🤖 AI & Intelligent Systems

  • LLM-powered multi-agent architectures
  • Generative AI app development
  • Deep Learning & Neural Networks
  • Reinforcement Learning fundamentals
  • Vision Agents & Automation
  • OpenAI APIs, LangChain-style patterns

🌐 Full-Stack Web Dev

  • React + TypeScript + Vite
  • Tailwind CSS (pixel-perfect UIs)
  • REST APIs & backend integration
  • Auth systems, dashboards, admin panels
  • Real-time features (QR, live data)
  • Deploying production-ready apps

🛠️ Tech Stack

Languages

Java JavaScript TypeScript Python C++

Frontend

React Tailwind CSS Vite HTML5 CSS3

AI / ML

OpenAI Scikit-learn TensorFlow Agents

Tools & Platforms

Git GitHub Linux Mint macOS


🔥 Featured Projects

Full-featured college induction web portal — built and deployed for real students

Login/signup, live event itinerary, QR-based attendance tracking, admin dashboard, venue maps, faculty & WiFi contacts. Production-grade, not a demo.

React TypeScript Tailwind CSS Vite


🤖 AI Agent Web App

Multi-agent system that acts as a smart virtual assistant

Autonomously books appointments, sends emails, schedules meetings, and replies to messages — powered by LLM APIs and automation logic.

Python LLM APIs AI Agents Automation Frameworks


🛍️ React Shopping Website

Modern e-commerce UI with a clean developer-first approach

Product catalog, cart management, and smooth UX built to production standards.

React Tailwind CSS


🔍 Fraud Detection ML Model

Classification model trained on real fraud datasets

Optimized for high F1-score on imbalanced data using deep learning and classical ML techniques.

Python Scikit-learn Deep Learning


📊 GitHub Stats


🌱 Currently Learning

▸ Advanced AI Agent architectures & autonomous systems
▸ Modern CSS animations & web performance
▸ iOS Development with SwiftUI
▸ Startup building & product thinking

⚡ Beyond the Code

🎮  Mobile gaming: Clash of Clans · Free Fire · PUBG Mobile
💼  Exploring startups & dropshipping as side ventures
🖥️  Daily driver: MacBook Pro M4 Pro + Linux Mint
🧠  Obsessed with AI systems that actually solve real problems
🚀  Building from Delhi, thinking globally


Open to collabs, internships, and building cool things together.

Follow on GitHub   Connect on LinkedIn


Made with focus, caffeine, and a lot of terminal windows

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