logoVyom Khurana
LinkedinGithub

Vyom Khurana

Data Science Enthusiast | Cybersecurity Specialist | Backend Developer

Building intelligent systems and securing digital infrastructures. Computer Science student at VIT Vellore specializing in Data Science with hands-on experience in threat intelligence and vulnerability assessment.

  • Cyber Security Intern at Gurugram Police Cyber Cell
  • Built AI-powered Voice Search with 85%+ accuracy
  • Developed Real-time Vulnerability Scanning Platforms
  • Pursuing B.Tech in Computer Science (Data Science) at VIT Vellore
  • Learn More!
    work icons
    My Skills
    Never miss a task, deadline or idea
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    skill image
    Performance & Security
    Built for the modern web

    Enterprise-Grade Security

    Protecting data with advanced encryption protocols and secure architecture designs

    AES-256 EncryptionTLS/SSL SecureGDPR Compliant

    My Projects

    Memory Lens - AI Photo Search

    Memory Lens - AI Photo Search

    AI-powered photo search system with voice-based natural language queries. Integrated Qdrant Vector Database achieving 85%+ semantic accuracy with <2s search latency. Built using AWS Recognition, OpenAI Embeddings API, and Flutter.

    DevXploit - Security Platform

    DevXploit - Security Platform

    Real-time vulnerability scanning dashboard using Node.js, Express, and Tailwind CSS. Integrated with OWASP ZAP for penetration testing. Features dynamic security analysis for SQLi, XSS, and CSRF detection with severity-based risk scoring.

    SnifferX - Network Threat Tool

    SnifferX - Network Threat Tool

    Real-time network traffic analyzer built in Node.js detecting DDoS attacks, IP spoofing, and port scans using pcap and TTL variance algorithms. Interactive CLI with color-coded logging and modular detection engines for ML-based anomaly detection.

    Get In Touch

    I'm always open to discussing new projects, creative ideas, or opportunities.

    Connect With Me
    GitHubLinkedInEmail
    About

    Data Science | Cybersecurity | Backend Development

    VIT Vellore

    © 2026 Vyom Khurana. All rights reserved.