Giri Karthick

About

Final-year B.Tech student in Cybersecurity and IoT with published research in phishing detection and AI-driven cybersecurity. Interested in postgraduate research opportunities in cybersecurity, AI-based threat detection, and network security.

Experience

• Internship Trainee
  Larsen & Toubro Limited (L&T Construction)
  Mar 2026 – Jun 2026
• Internship Trainee
  Prompt Infotech
  Aug 2024 – Nov 2024
• Backend Developer and Database Intern
  Varthagam Software and Technologies
  Feb 2024 – May 2024

Education

• B.Tech CSE in Cybersecurity and IoT
  Sri Ramachandra Faculty of Engineering and Technology
  Cybersecurity and IoT · 2022 – 2026

Skills

• SQL
• C
• CSS
• HTML
• Python
• Java
• JavaScript
• React
• Flask
• TensorFlow
• API Integration Understanding
• Natural Language Processing

Projects

• AI-Driven Phishing Detection and Mitigation
  Python, TensorFlow, NLP, Flask, REST APIs

  Built a multi-phase phishing URL detection backend with threat intelligence lookups and multi-engine verification. Designed a feature engineering pipeline and URL analysis workflows with real-time threat monitoring, and evaluated models on large-scale phishing datasets.

• Autonomous AI Framework for Securing Nuclear Reactor Operations
  JavaScript, React, Custom Reactor Physics Engine, Multi-Layer Statistical Detection

  Built a browser-based digital twin of a nuclear reactor to simulate cyber-physical attacks on reactor controls. Implemented a 4-layer detection pipeline combining physics-model comparison, signal/statistical analysis, and challenge-response perturbation testing.

• Integrated Retail Management System (IRMS)

  Developed and sold a complete POS system to Brownstar Supermarket. Features include billing, inventory alerts, GST export, returnables tracking, and credit management; currently operational for daily transactions and business intelligence.

Courses & certifications

• Introduction to Cybersecurity · Cisco
• Git & GitHub - A Practical Course

🏆 Achievements & awards

• Merit Certificate for developing an AI-driven phishing detection system

  Recognized by C3iHub, IIT Kanpur.

• Recognition at HACKIITK

  Recognized for pioneering cybersecurity innovation at a cybersecurity hackathon hosted by IIT Kanpur.

• Second Runner-Up at the SEED Hackathon

  Awarded at a hackathon organized by GWU and BU.

• Recognition for nuclear reactor digital twin and anomaly detection system

  Recognized for building a physics-based digital twin and AI-driven anomaly detection system for nuclear reactor controls, achieving about 7x faster attack detection than a threshold-based baseline in simulation.

📚 Publications

• 3P-VAD: A Layered Three-Phase Framework for Intelligent Phishing URL Detection · 2026