AI/machine learning for signal intelligence and defence applications.- Projects: • Open-set radar emitter recognition • Deep learning-based passive RF drone detection • Automatic speech recognition for hostile communication detection on radio networks- ML Algorithm Design and Implementation: • General deep learning architectures: Working extensively with Transformers, CNNs, RNNs/LSTMs, Random Forests, Gradient Boosting • Object detection • Open-set recognition: Enabling deep learning models to generalise beyond classes available during training time • MLOps: Managing the end-to-end machine learning lifecycles with MLflow, Ray Tune and DVC.- General Software Development: • Digital signal processing with C++ and Python • Writing C++/Python bindings to interface with C++ libraries for performant routines. • Java UI development

Initiated and lead a team to grow and maintain a strong and positive company culture.

- Advanced Engineering Mathematics (EEE5120Z)- FPGA Basics (EEE5117Z)- Advanced FPGA Technologies (EEE5118Z)- Microwave Devices and Antennas (EEE5121Z)

- Computer Science (Java, Python, C++ and Machine Learning)- Control Systems- Analogue and Digital Electronics- Electronic Devices and Circuits

Worked on implementation of General Power Theory algorithm for efficiency in energy delivery networks using DSPs, Raspberry Pi and PIC microcontrollers.

Implemented a Google Maps (API) feature on the company's web platform using Typescript (Angular) to enable collection and manipulation of geolocation data.

During my gap year, I had the privilege of volunteering at Windows of Hope, Zimbabwe where I assisted in various ways from facilitating Orphans and Vulnerable Children's camps to carrying out home visits for delivery of food. Additionally, I designed the official logo for the organisation attached below.