Computer Science Honours Student at University of Fort Hare, specializing in Cybersecurity, Artificial Intelligence, and Full-Stack Development. I build secure, intelligent solutions that solve complex real-world problems for forward-thinking organizations.
I bring advanced technical depth, strong research capability, and a mindset focused on creating solutions that perform reliably under real-world conditions — not just in theory.
I am an AI Security Developer and Researcher focused on designing intelligent systems that are secure, scalable, and built for real-world impact. My work lies at the intersection of Machine Learning, Cybersecurity, and Software Engineering, where I specialize in building predictive models, secure network architectures, and intelligent automation tools.
My core passion is developing AI systems that defend, detect, and adapt in environments where cyber threats evolve faster than traditional security measures. I believe the future of security is autonomous — systems that think, learn, and improve in real time.
"Security isn't just about building walls; it's about creating systems that can think, adapt, and defend themselves."
Strong foundation in algorithms and data structures
Architecting scalable and efficient solutions
Building with protection as the foundation
Creating intuitive and accessible solutions
I integrate machine learning to create adaptive security systems that learn from threats and improve over time.
My academic background ensures my solutions are grounded in proven methodologies and cutting-edge research.
I build with deployment in mind, creating robust systems that perform reliably in real-world environments.
Conducted research on adversarial machine learning and developing defenses against model evasion attacks.
Developed an AI-powered network intrusion detection system with 95% accuracy in identifying threats.
Founded and led a campus AI security research group, mentoring junior developers and researchers.
IBM Cybersecurity Analyst Professional Certificate
Deep Learning Specialization - deeplearning.ai
AWS Certified Security - Specialty (In Progress)
A machine learning system that detects network intrusions in real-time with high accuracy and low false positives.
A secure messaging platform with end-to-end encryption, perfect forward secrecy, and secure file sharing.
An AI-based system that analyzes and classifies malware using static and dynamic analysis techniques.
University of Fort Hare
Specializing in Cybersecurity and Artificial Intelligence. Research focus on adversarial machine learning and secure AI systems.
University of Fort Hare
Graduated with distinction. Coursework included advanced algorithms, network security, and machine learning fundamentals.
luthando.candlovu30@gmail.com
078 2765 932
Eastern Cape, South Africa
Open to new opportunities and collaborations