I have worked in AI and computer vision for quite sometime now, using code to tackle real-world problems in different industries. For instance, I've work in research demonstrating 3d segmented coronatory artery data. I am part of an AI division developing object detection models for road faults. I've been coding in C++ for almost a decade now, and my day job involves using quite a number of frameworks in backend and infrastructure space. In 2023 I won the IITPSA SIGCyber Hackathon. That's right, I'm into penetration testing too, keeping things secure on the digital front. I've also done my fair share in the electronics scene, working as a Junior Production Assistant at a cool electronics company. Leadership? Yeah, got some Gold Hours of Leadership from UCT, but let's not get too formal. I just love doing research, collaborating, leading projects, and helping teams shine. Keen to learn more? You can download my cv or contant me.
I specialize in creating strong and efficient backend solutions using languages like C++, Python, and Java.
With a focus on cybersecurity, I excel in penetration testing to secure digital systems against potential threats.
Navigating the realm of machine learning, I leverage the power of PyTorch and Scikit-Learn to develop practical and efficient models, pushing the boundaries of innovation in intelligent systems.
Backend Development
I've worked with languages like C++, Python, and Java. My portfolio includes projects related to systems design, data structures, algorithms, and concurrent programming.
Cybersecurity
I started off with offensive security and managed to partipate in CTF competitions. I then took a module that trained me more towards defensive security. I had the opportunity to participate and succeed in the SIGCyber Security Hackathon, where I gained practical experience in penetration testing.
Machine Learning
In machine learning, I'm familiar with PyTorch and scikit-learn. I've applied these skills to projects involving data preprocessing and neural network algorithms, including one analyzing 3D CT images and ECG data to identify patterns related to cardiovascular conditions.
BSc. Computer Science
I have a solid foundation in various aspects of computer science, including systems design and implementation, data structures, algorithms, business intelligence, analytics, concurrent and parallel programming, mobile development, and computer architecture. Through practical coursework, I've gained hands-on experience in these areas, providing me with a well-rounded skill set to tackle diverse challenges in the field.
High School
I developed a strong analytical mindset and problem-solving skills. Physics and Mathematics honed my quantitative abilities, while Geography broadened my understanding of the world's interconnected systems. Life Science not only deepened my appreciation for the natural world but also nurtured my curiosity about biological processes. This diverse educational background has equipped me with a well-rounded perspective, blending scientific and analytical thinking, which I bring to my current pursuits in computer science and technology.
