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ashfakshibli/README.md

Hi there! πŸ‘‹ I'm Ashfak Md Shibli

LinkedIn Email Google Scholar

πŸš€ About Me

Technology leader with expertise in artificial intelligence, cybersecurity, and software engineering. I'm passionate about:

  • πŸ”’ Advancing cybersecurity research for U.S. digital infrastructure
  • πŸ€– Developing AI-powered solutions
  • πŸƒβ€β™‚οΈ Creating innovative sports technology
  • πŸ“± Building secure mobile applications

πŸ› οΈ Tech Stack

Programming Languages & Frameworks

Swift Python C# C++ PHP JavaScript SQL

Cloud & DevOps

Google Cloud Google Analytics Firebase CI/CD

Databases

MySQL MongoDB

Tools & Platforms

Git GitHub Jira Confluence Postman Testing PyTorch Scikit Learn OpenCV Mac OS Linux iOS Android

πŸŽ“ Education

  • M.S. in Computer Science (GPA: 4.00/4.00)
    • Tennessee Technological University & New Jersey Institute of Technology
    • 2022-2024

πŸ† Recent Achievements

  • 🎯 Patent-pending AI sports technology
  • πŸ“± Novel SMS phishing detection system
  • πŸŽ“ Published research in IEEE & ACM conferences
  • πŸ€– Volunteered as First Lego League Robotics competition manager

πŸ“Š GitHub Stats

GitHub Stats

GitHub Streak

πŸ“ˆ Contribution

🎯 LeetCode Progress

LeetCode Stats

πŸš€ Featured Projects

πŸƒβ€β™‚οΈ AI Sports Performance Analysis System (Current)

  • Patent-pending technology for sports performance analysis
  • Uses advanced computer vision and deep learning
  • Mobile platform targeted for U.S. athletes and coaches
  • Commercialization planned for 2025

🏠 Samsung Family Hub Application

  • Implemented secure layered API architecture for sensitive cloud data
  • Engineered robust database system with multi-threaded data integrity protection
  • Reduced system crashes by 99% through comprehensive error handling
  • Developed sophisticated notification systems and data migration protocols
  • Maintained 13% test coverage for critical components

🎧 Samsung Galaxy Buds Windows App

  • Architected secure communication protocols for firmware updates
  • Implemented encrypted data transmission and Bluetooth security measures
  • Developed serialization protocols for secure byte stream handling
  • Built REST APIs for authenticated device communication
  • Created secure FOTA (Firmware Over The Air) update system
  • Maintained 15% unit test coverage for security-critical features

πŸ“ Samsung Notes - Automated Bug Analysis

  • Engineered automated security and performance testing framework
  • Implemented comprehensive logging of system vulnerabilities
  • Developed crash analytics and I/O anomaly detection
  • Created proactive threat detection system
  • Significantly reduced security and performance incidents in production

πŸ”’ SMS Phishing Detection Research (Masters)

  • Novel Smish Score (0-100) system for threat detection
  • Integration with ChatGPT, Gemini AI, and BERT models
  • Published at IEEE S&P and ISDFS conferences
  • Repository - will be public after all of our research work is published.

πŸ₯ Healthcare Data Protection Research (Masters)

  • Enhanced U.S. healthcare security through automated analysis
  • STRIDE threat modeling implementation
  • Protection of sensitive health information
  • PHI Analysis Repository

πŸ“š Latest Publications

  1. "Use of LLM-based Generative AI Chatbots for Smishing Attacks and Defenses" Poster Link - IEEE S&P 2024
  2. "AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns" IEEE Xplore - ISDFS 2024
  3. "Survey on Security Attacks in Connected and Autonomous Vehicular Systems"IEEE Xplore - IEEE ICOCO 2023
  4. "Developing a Vision-Based Driving Assistance System" Springer - ICITDMS 2018

πŸ“… This Month's Activity

⚑ Working on AI Sports Performance Analysis System
πŸ”’ Researching SMS Phishing Detection
πŸ“š Publishing Cybersecurity Research

πŸ’‘ "Security is not a product, but a process." - Bruce Schneier

Profile Views

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