Summary
Joshua Van Staden is a PhD student specializing in Machine Learning and Computer Vision at Rhodes University, with a research focus on automating gait-based detection of concealed carriers in CCTV footage. He brings eight years of experience across data science, QA, and code review, bridging research with production-ready tooling. In parallel, he is a Content Developer at HyperionDev and a Graduate Teaching Assistant at Rhodes University, where he designs technical content and mentors next-generation developers. He actively contributes as a Code Reviewer at CoGrammar, and has prior internship exposure with the Square Kilometre Array, adding a practical, hands-on dimension to his ML work. Based in Makhanda, South Africa, his career blends academic rigor with practical, auditable solutions and a growing interest in time-series data and computer vision.
8 years of coding experience
Rhodes University