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Vaibhav-Kumar10/README.md

Vaibhav Kumar

Backend & AI Engineer focused on scalable systems, intelligent applications, and production-grade software.


About Me

  • B.Tech Computer Science student at VIT Bhopal University
  • Focused on Backend Engineering, AI Systems, and Full-Stack Development
  • Building scalable applications using Python, Flask, Flutter, Firebase, Docker, and cloud technologies
  • Interested in system design, distributed systems, and developer-focused tools
  • Passionate about solving real-world problems through engineering and applied AI

Core Technologies

Python Flask Django Flutter Firebase Docker AWS MySQL GitHub Actions C++


Featured Projects

CyberBuddy — AI-Powered Phishing Detection System

  • Built a Chrome extension integrating ML-based phishing detection with Gemini API analysis
  • Designed real-time URL analysis pipelines achieving ~95% detection accuracy
  • Implemented Flask backend APIs for threat classification and browser communication
  • Focused on security workflows, low-latency inference, and scalable API integration

Tech Stack: Python, Flask, Machine Learning, Gemini API, Chrome Extension APIs


Brew Crew — Real-Time Cloud-Based Flutter Application

  • Architected a reactive Flutter application with Firebase Authentication and Firestore streams
  • Implemented event-driven state management using Provider and real-time synchronization
  • Designed scalable frontend-backend interactions for seamless live updates
  • Focused on responsive UI, cloud synchronization, and clean application architecture

Tech Stack: Flutter, Firebase, Provider


HridayVayu — Intelligent Asthma Monitoring Platform

  • Developed an ML-assisted healthcare monitoring system integrating sensor-driven alerts
  • Built prediction pipelines for asthma-risk analysis with automated notification workflows
  • Designed Flask APIs for model integration and healthcare data handling
  • Focused on real-time monitoring and predictive healthcare assistance

Tech Stack: Python, Flask, Machine Learning


Father's Advice — Intelligent Mentor Matching Platform

  • Developed a mentor recommendation system using graph-based matching algorithms
  • Implemented bipartite scoring mechanisms for optimized mentor-mentee pairing
  • Designed scalable backend workflows for recommendation processing
  • Focused on recommendation quality and algorithmic efficiency

Tech Stack: Python, Flask, Graph Algorithms


Full Stack Authentication Platform

  • Built a secure authentication system with JWT-based authorization workflows
  • Developed RESTful backend APIs with MySQL integration
  • Implemented secure user authentication and session management
  • Focused on scalable backend architecture and API security practices

Tech Stack: Flask, MySQL, JWT, REST APIs


Engineering Interests

  • Backend Systems
  • AI Applications
  • Distributed Systems
  • API Design
  • Cloud Infrastructure
  • Developer Tools
  • System Design
  • Scalable Architectures

Certifications & Achievements


GitHub Statistics


LeetCode Activity


Currently Exploring

  • Advanced Backend Engineering
  • Scalable System Design
  • AI-powered Applications
  • Cloud-native Development
  • Dockerized Deployments
  • Authentication & Security Systems

Open to collaborating on impactful engineering and AI projects.

Pinned Loading

  1. Vaibhav-Kumar-Resume Vaibhav-Kumar-Resume Public

  2. OJ-Project OJ-Project Public

    HTML

  3. Coffee-App Coffee-App Public

    A flutter app with firebase as backend

    Dart

  4. One-Punch-Man-App One-Punch-Man-App Public

    My first Flutter app

    C++

  5. My-Notes-App My-Notes-App Public

    A Notes App built using Flutter.

    HTML

  6. Vaibhav-Kumar-Portfolio-Website Vaibhav-Kumar-Portfolio-Website Public

    HTML