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rahulrai19/README.md

Hi, I'm Rahul Rai

Software Engineer • Full Stack Developer • AI & Machine Learning Enthusiast

Typing SVG


About Me

Computer Science undergraduate passionate about building scalable software and AI-powered applications.

I specialize in Full Stack Development, Backend Engineering, and Machine Learning, with hands-on experience building applications using React, Node.js, Django, FastAPI, Python, and modern databases.

I enjoy solving real-world problems by combining modern software engineering with AI to create impactful products.

I believe the best way to learn is by building products that solve real problems.


Featured Projects

Lites — Intelligent LLM Token Optimization Platform

An intelligent LLM middleware platform designed to reduce token usage and inference costs through context optimization, semantic caching, and adaptive model routing.

Key Features

  • Intelligent LLM Request Optimization
  • Token Usage Reduction
  • Context Compression & Optimization
  • Semantic Caching
  • Cache Normalization
  • Adaptive Model Routing
  • Embedding-Based Semantic Similarity
  • LLM Usage & Performance Metrics
  • LLM Provider Integration
  • Developer-Focused Middleware Architecture

Tech Stack


Agri 4.0 — AI Powered Crop Health Monitoring

An AI-powered precision agriculture platform that detects crop diseases, analyzes plant health, and provides intelligent farming insights.

Key Features

  • Crop Disease Detection
  • NDVI Analysis
  • CNN-Based Deep Learning
  • Video Guidance Modules
  • Market Insights
  • Community Knowledge Sharing

Tech Stack


Collabo — Real-Time Collaborative Study Room Platform

A collaborative platform that enables students to create public and private study rooms with real-time communication and productivity tools.

Key Features

  • Public & Private Study Rooms
  • Real-Time Socket.IO Chat
  • Deep Focus Mode
  • Activity Tracking & Leaderboard
  • Shared Notes & Tasks
  • Real-Time File Sharing
  • Picture-in-Picture Floating Study Timer
  • JWT Authentication
  • Cloudinary Media Management

Tech Stack


Tech Stack

Languages

Frontend

Backend

Databases & Caching

AI / Machine Learning

Tools & Technologies


GitHub Analytics


Contribution Graph


LeetCode Stats


Achievements

  • Solved 400+ DSA Problems in Java
  • Solved 80+ SQL Problems
  • Built AI & Machine Learning Applications
  • Developed Multiple Full Stack Projects
  • Software Engineering & Machine Learning Internship Experience

Core Expertise

  • Full Stack Development
  • Backend Development
  • Machine Learning
  • Generative AI
  • LLM Applications & Optimization
  • Database Design
  • REST API Development
  • Data Structures & Algorithms
  • Real-Time Application Development

Currently Building

  • LLM-Powered Intelligent Web Applications
  • Intelligent LLM Routing & Semantic Caching Systems
  • AI-Powered Agriculture Solutions
  • Real-Time Collaborative Applications
  • Scalable Backend Systems with Django & FastAPI

Explore More Projects

Interested in seeing more of my work?

Explore my pinned repositories below for additional Full Stack, AI, and Backend projects.

⬇️⬇️⬇️


Let's Connect


Thanks for visiting my profile!

If you like my work, consider starring a repository or connecting with me on LinkedIn.

Pinned Loading

  1. Lites Lites Public

    An intelligent LLM middleware for reducing token usage, optimizing context, improving cache efficiency, and enabling adaptive model routing.

    Python

  2. collabo-Collaborative-Study-Room-Platform collabo-Collaborative-Study-Room-Platform Public

    Collaborative Study Room Platform is a web-based application designed to help students and teams create virtual study rooms where they can collaborate in real time. The platform integrates features…

    JavaScript

  3. HopeLine HopeLine Public

    HopeLine:- An Application used for Development of a Digital Mental Health and Psychological Support System for Students in Higher Education

    JavaScript 2

  4. Agri-4.0 Agri-4.0 Public

    Agri‑4.0 is an AI‑powered precision agriculture platform that leverages computer vision, deep learning, and remote sensing to monitor crop health, detect pests, and analyze soil conditions. With mu…

    Jupyter Notebook

  5. smart_energy smart_energy Public

    The Smart Energy Consumption Analysis and Prediction project focuses on monitoring, analyzing, and forecasting energy usage patterns. It integrates backend services, machine learning models, and cl…

    Jupyter Notebook

  6. Sentiment_Analysis_WebApp Sentiment_Analysis_WebApp Public

    Sentiment Feeder is an AI‑powered event feedback analysis platform that delivers real‑time sentiment insights. It uses NLP and machine learning to categorize feedback into positive, neutral, or neg…

    JavaScript 1 3