Kelvin Yankey

• Working across the Client and Finance teams on backend systems for client onboarding, payments, transactions, and fee processing using C#, SQL, Angular and React.
• Helped build and ship an AI platform allowing wealth managers to query internal APIs and documents in natural language.

• Ported the DROID-SLAM project to UCT's HPC environment using Docker and Singularity for GPU-accelerated SLAM.
• Developed a CLI tool to streamline job submission, monitoring, and data extraction on SLURM-managed GPU nodes.
• Automated inference and training pipelines using Linux shell scripts.

• Built a scalable 3D virtual environment system designed to host near-realistic virtual events without requiring expensive client hardware.
• Gained hands-on experience with 3D rendering technologies and scalable network architecture.

• Mentored students in computer science fundamentals, logic, and problem-solving for CSC1015F and CSC1016S.
• Developed the ability to communicate complex ideas effectively and strengthen interpersonal skills.

A real-time Phasor Measurement Unit built in Rust on a Raspberry Pi, sampling three-phase grid voltages with GPS-synchronised timestamps and computing phasors, frequency, and ROCOF — fully compliant with the IEEE C37.118 standard.

An implementation of audio steganography that hides secret messages inside audio files using a random number generator for bit placement.

Ported the DROID-SLAM visual-odometry framework to UCT's HPC environment and built a full Go CLI for executing, managing, and extracting inference and training jobs over SSH.

A multi-unit surveillance system built to monitor red-winged starling nests across UCT's campus, using Raspberry Pi Zero, environmental sensors, and a Flutter companion app.

An extension kit for the STM32 Discovery Board designed to add sensors and features with a plug-and-play approach.

A line-following robot programmed to navigate and solve a maze featuring curved paths, right angles, 4-way and 3-way decision points, and dead ends — the fastest of 20 competing teams.

A full-stack data aggregation and visualisation platform tracking real-time COVID-19 statistics globally, with a Python backend and Vue.js frontend.

Dean's Merit List (Dec 2022)