Victor Ayodeji Oluwasusi

Professional Summary

Victor Ayodeji Oluwasusi is a seasoned networking professional and AI/ML engineer with over a decade of experience designing, optimizing, and securing large-scale IT infrastructures. Currently serving at the Computer Center Directorate of Cyprus International University (since October 2024), he combines deep expertise in network architecture with cutting-edge research in self-optimizing and self-healing systems. As Founder & CTO of Vicezion Technologies Limited, he leads development of explainable security solutions. Parallel to his industry work, Victor is a PhD candidate at Near East University, researching AI-powered anomaly detection and explainable intrusion-detection systems.

Education & Academic Pursuits

• PhD Candidate, Computer infomation Systems
  Near East University, TR (2024 – Present)
  Dissertation: “AI-Powered Anomaly Detection: Enhancing Cybersecurity through Computer Vision-Based Intrusion-Detection Systems.”
• Master’s Coursework in Computer infomation Systems
  Near East University, TR
• Bachelor of Technology in Pure and Applied Mathemetics
  Ladoke Akintola University of Technology, NG

Professional Experience

Cyprus International University – Computer Center Directorate

Network Expert & Systems Architect | Oct 2024 – Present

• Designed and maintain campus-wide network infrastructure, ensuring 99.99% uptime across academic, research, and administrative segments.
• Led Zabbix monitoring upgrades and Cloudflare Tunnel deployments to enhance security and remote access.
• Integrated SMS/WhatsApp gateways (Zender) for critical alerts and two-factor authentication.

Vicezion Technologies Limited

Founder & CTO | 2022 – Present

• Established an AI consultancy and product development firm based in Nigeria, focusing on explainable security systems and AI-driven solutions.
• Led development of SENTRY-AI, a multi-modal network anomaly detection platform (Python; Flask).
• Developed a Streamlit-based Multiple Disease Prediction System using various machine-learning algorithms.

Havilahhair (havilahhair.com)

Founder & Technical Lead | 2024 – Present

• Launched an e-commerce platform specializing in women’s hair and beauty products; implemented order-tracking, promotions engine, and DeepSeek AI chatbot integration.
• Integrated OAuth (Google, Facebook, Apple) and custom WhatsApp-based OTP verification for seamless customer onboarding.

Open Source Projects

• SENTRY-AI – Intelligent multi-modal network anomaly detection system leveraging VAE, CNN, and RL for explainable cybersecurity (Python; Flask; MIT license) ([github.com](https://github.com/visezion/Sentry-AI))
• Multiple Disease Prediction System – Streamlit app for disease prediction using multiple machine-learning algorithms (Jupyter Notebook; Python) ([github.com](https://github.com/visezion/Multiple-Disease-Prediction-System-with-Multiple-Algorithm))
• Online Course Registration System – HTML-based university course enrollment platform (forked, extended) ([github.com](https://github.com/visezion))
• Student Electronic Voting System – Prototype e-voting platform for university elections (HTML/JS) ([github.com](https://github.com/visezion))
• Datacenter Infrastructure Management (DCIM) – JavaScript-based DCIM dashboard for real-time monitoring and control ([github.com](https://github.com/visezion))

Teaching & Curriculum Development

• IGCSE ICT Exam Designer: Crafted Year 10 and Year 11 Cambridge-standard exam papers (Chapters 1–9) with marking schemes and solutions.
• Corporate & Academic Workshops: Delivered training on Google Ads & SEO, Flutter iOS deployment, and secure Laravel-plugin integration.

Technical Skills

• Languages & Frameworks: Python (PyTorch, TensorFlow), PHP (CodeIgniter, Laravel), JavaScript (Node.js, React)
• AI & ML: VAE, CNNs, Grad-CAM, DQN (stable-baselines3)
• DevOps: Docker, Kubernetes, Cloudflare Tunnel, Apache/Nginx
• Monitoring & Security: Zabbix, Snort, VPN (IPsec/SSL), 2FA

Personal Interests & Activities

• Mentor for university coding bootcamps and organizer of AI-for-security study groups.
• Languages: English (fluent), Turkish (conversational), Yoruba (native).