Carim Okadigbo
—Software Engineer & AI/ML
I'm a software engineer who builds AI-powered applications.
I create intelligent software solutions that leverage machine learning and artificial intelligence to solve complex problems and enhance user experiences across mobile and web platforms.
Work
TrafficDesigner.ai
Python, TensorFlow, PyTorch, Agentic AI, Computer Vision, Geospatial Analysis
Founding and developing an AI-powered platform that generates Traffic Guidance Schemes (TGS) for work zones. Users simply outline work zones on a map, and the AI analyzes traffic control regulations, design best practices, and road geometry to automatically produce compliant traffic management plans. The platform reduces design time by 95% and achieves 70% cost savings on project overheads through automated plan generation.
Pepster
Swift, UIKit, CoreML, TensorFlow Lite, Firebase ML, RESTful APIs
Architected and developed an AI-powered dating platform using advanced machine learning algorithms for intelligent matching. Implemented on-device ML models using CoreML and TensorFlow Lite for real-time personality analysis and compatibility scoring. Built scalable backend systems with Firebase ML for continuous model training and deployment.
CE-Installer
C/C++, Windows API, Assembly, Chrome Extension Management
Discovered and wrote PoC for an n-day vulnerability that allows the installation of third-party Chrome extensions bypassing Google's security restrictions. Developed a professional installer written in C/C++ for Windows featuring both CLI and GUI interfaces. The vulnerability exploits Chrome's extension installation mechanism to install extensions from various sources including Chrome Web Store IDs, local files, and remote URLs. Implemented advanced security features including secure download verification, admin privilege handling, virtual machine detection, and system compatibility checks to ensure reliable operation across different Windows environments.
CVEhive
Python, TensorFlow, PyTorch, Agentic AI, NLP, Web Scraping, ML Pipeline
Building the most comprehensive CVE exploit code search engine using a three-faced approach: static analysis, dynamic testing, and AI-based validation. Implemented agentic workflows with LLM-powered web scrapers for continuous internet scanning and exploit discovery. Deployed Docker containers for isolated dynamic analysis environments and Git-based version control for exploit code management. The platform provides the most thorough validation pipeline in the industry, automatically testing and ranking functional exploits with unprecedented accuracy for security researchers.
About
Based in Adelaide, South Australia, I'm a software engineer passionate about pushing the boundaries of what's possible with artificial intelligence. With a Master's in AI and Bachelor's in Software Engineering, I've built innovative applications like Pepster's intelligent matching algorithms and TrafficDesigner.ai's traffic management plan generation platform.
Having worked at fast-paced startups and consulted at Ernst & Young, I understand both the technical innovation required and the business execution needed to bring AI solutions to market. My cybersecurity background (CEH, OSCP, Security+) provides a solid foundation for creating intelligent systems that are both cutting-edge and secure.
Experience
2025 – Present
TrafficDesigner.ai
Remote
2022 – Present
Pepster
London
2021 – 2022
Ernst & Young
Adelaide, Australia
2019 – 2021
Pepster
London
Education
Master of Artificial Intelligence
University of Adelaide
Bachelor of Software Engineering
Nile University
Certifications
CEH
Certified Ethical Hacker
Security+
CompTIA Security+ Certification
OSCP
Offensive Security Certified Professional
Get in touch about AI/ML development projects,
software engineering opportunities, or technical consulting.
I respond to all messages within 24 hours.
Schedule a 30-minute consultation call
to discuss your AI/ML project requirements,
technical architecture, and how intelligent systems
can enhance your software solutions.