Cape Town, Western Cape, South Africa
I am a passionate computer scientist with a strong focus on artificial intelligence and software engineering. My academic journey, fueled by curiosity and a belief in AI’s transformative potential, led me to earn a BSc, BScHons and MSc in Computer Science—graduating cum laude at every stage. Along the way, I learned to push the boundaries of innovation, from working on an AWS-backed software engineering project to publishing research on deep learning applications for radio galaxy classification and anomalous source detection in prestigious journals. Professionally, I have focused on delivering measurable, data-driven solutions for client problems. At Munus International, I was responsible for machine learning projects from ideation to deployment, designing solutions that spanned diverse domains, such as insurance, security, meteorology and agriculture. As a teaching assistant for both undergraduate and postgraduate courses, I guided students in mastering software engineering and AI concepts, including practical sessions on frameworks such as PyTorch and TensorFlow. Additionally, my nearly decade-long experience as a hockey coach sharpened my leadership and mentorship skills, allowing me to foster growth in both technical and non-technical environments. I thrive in dynamic environments that encourage continuous learning and innovation. Beyond academics and work, I’ve honed my skills through hackathons (finishing 2nd at Standard Bank’s annual event) and selective programs, such as NVIDIA workshops on Transformers, Condor Camp for AI Safety and ML Summer School. When I envision the future, I see AI driving groundbreaking innovation, revolutionizing industries, and elevating lives. Thus, I aim to contribute to projects that responsibly leverage AI to accelerate progress, combining technical excellence with ethical considerations. My strengths include rapid learning, problem-solving, and an unwavering commitment to impactful, high-quality work. If you believe this aligns with your company’s goals and culture, let’s connect.
At Munus International, I work as a machine learning consultant, tackling diverse client challenges across various domains. My responsibilities include managing the end-to-end lifecycle of machine learning projects—from ideation, data collection, and preprocessing to model design, deployment, and performance monitoring. I frequently work independently to identify, design, and implement tailored solutions, demonstrating both technical expertise and problem-solving skills. Additionally, I developed and delivered a course to help software engineers understand and utilize machine learning models, and I built web and mobile applications for data monitoring. This role allowed me to refine my technical, teaching, and communication skills while gaining valuable experience across a range of real-world applications.
I was a teaching assistant for a module (Foundations of Deep Learning - 813) at Stellenbosch University. This module is an introduction to the field of deep learning for students doing a MSc in Machine Learning and Artificial Intelligence. Duties: - Assisting with the presentation of the practical aspects of the course in Tensorflow. - Assisting with the marking of student projects. - Leading the practical sessions. - Answering any questions that students might have about the course material.
I was an assistant for various modules at Stellenbosch University. These modules include: - WB272: Duties: - Creating memos for the practicals that students had to complete. - Assisting with the marking of student assignments and tests. - Invigilating tests. - Assisting students with any questions that they had about the course material or practicals. - CS144: Duties: - Assisting students during tutorials with any questions that they had. - Invigilating tests. - Marking projects. - CS114: Duties: - Assisting students during tutorials with any questions that they had. - Invigilating tests. - Marking projects.