Hafiz Muhammad Soban Khan

Hafiz Muhammad Soban Khan

AI Specialist | Research Engineer | Electrical Engineer

Professional Summary

Innovative AI Researcher and Software Engineer with expertise in AI-driven cybersecurity, machine learning, and embedded systems vulnerability detection. Proficient in leveraging Linux, AWS, and DevOps for secure and scalable deployments. Experienced in leading international projects, bridging theoretical AI research with practical applications, and enhancing the resilience of critical infrastructure. Currently pursuing an MSc in Artificial Intelligence, specializing in fuzzing frameworks for vulnerability detection.

Professional Experience

Research Engineer I

University of Cyprus, KIOS CoE, Nicosia, Cyprus

September 2023 – Present

  • Designed and developed AI-driven cybersecurity solutions to enhance critical infrastructure resilience.
  • Integrated AI and DevOps techniques to optimize system performance and deployment efficiency.
  • Conducted applied research by bridging state-of-the-art AI methodologies with real-world engineering applications.

Teaching Assistant

University of Cyprus, Nicosia, Cyprus

September 2024 – Present

  • Supported the Electronic Devices and Circuits course by assisting in lectures, delivering tutorials, and supervising laboratory sessions.
  • Provided one-on-one mentoring, graded assignments, and helped students connect theory to practical applications.

Electrical Engineer (Project Manager)

Huawei Technologies, Islamabad, Pakistan

August 2022 – July 2023

  • Managed international telecom and IT integration projects, including variation notes, purchase order approvals, and procurement processes.
  • Directed end-to-end project operations, including planning, execution, and team coordination for engineering and logistics activities.
  • Facilitated milestone verification and client satisfaction for timely and successful project delivery.

Internship (Network Maintenance)

Pakistan Telecommunication Company Limited (PTCL), Islamabad, Pakistan

July 2020 – September 2020

  • Diagnosed and resolved network faults while adhering to strict safety and regulatory standards.
  • Conducted preventive maintenance and inventory coordination for PTCL sites, ensuring operational efficiency.
  • Evaluated and tested electrical systems, and trained technicians in safety compliance.

Education

Master in Artificial Intelligence

University of Cyprus, Nicosia, Cyprus (Expected May 2025)

Key Courses: Artificial Intelligence Fundamentals, Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence Ethics I & II, Ontological Databases, Computer Vision.

Thesis: "Adaptive and Scalable Fuzzing Framework for Universal Vulnerability Detection in Embedded Systems Using Advanced AI Techniques"

Bachelor of Science in Electrical Engineering

HITEC University, Taxila, Pakistan (September 2017 – July 2021)

Key Courses: Control Systems, Power System Analysis, Digital Signal Processing, High Voltage Engineering, Programming Fundamentals, Object-Oriented Programming, Data Structures and Algorithms, Microprocessor and Interfacing Techniques.

Research Project: Evaluated natural plant ester oils as sustainable replacements for traditional transformer oils through comprehensive lab testing, including breakdown voltage, viscosity, and aging analysis.

PEC Registration: ELECT/92394

Technical Skills

Languages

  • Java
  • Python
  • C/C++
  • SQL (Postgres)
  • JavaScript
  • HTML/CSS
  • R

Frameworks

  • React
  • Node.js
  • Flask
  • JUnit
  • WordPress
  • Material-UI
  • FastAPI

Dev Tools

  • Git
  • Docker
  • TravisCI
  • Google Cloud Platform
  • VS Code
  • Visual Studio
  • PyCharm
  • IntelliJ
  • Eclipse

Libraries

  • pandas
  • NumPy
  • Matplotlib
  • TensorFlow
  • PyTorch
  • SeqGAN

Other Skills

  • Linux
  • Embedded Systems
  • Electrical System Design
  • AWS
  • Kubernetes

Projects & Research

AI-Based Fuzzing Framework Development

Created a scalable and adaptive AI-driven framework for detecting vulnerabilities in embedded systems, utilizing the LAVA-M dataset and integrating advanced techniques such as Deep Learning and Reinforcement Learning.

Transformer Oil Research

Conducted lab experiments to evaluate natural ester oils enhanced with nanoparticles as sustainable transformer oil alternatives. Optimized the dielectric properties through extensive testing, including breakdown voltage, flash point, and aging tests.

Certifications

  • AWS Certified Solutions Architect (2023)
  • Machine Learning Specialization (Coursera) (2022)
  • Cyber Security Certificate for Service Work (Huawei Technologies, 2022 – 2024)
  • PrePosition Competence Certification for Maintenance Service (Partner) (Huawei Technologies, 2022 – 2024)
  • Remote Delivery Certification (Huawei Technologies, 2022 – 2024)

Languages

  • English: Proficient (C1)
  • Urdu: Native

Contact Information

Email: msoban584@gmail.com

LinkedIn: My Linkedin

GitHub: My Github

Phone: (+31) 610138875

Address: The Hague, Netherlands