Work & Projects

ABSA lacked consistent ML/ETL standards, reusable engineering patterns, and scalable workflows.

Built a modular open-source ecosystem providing declarative ETL engines, ML pipelines, feature stores, and YAML-driven orchestration.

Accelerated model delivery, improved data quality, and uplifted engineering capability across teams.

IoT and telematics pipelines required robust filtering for noisy sensor data and real-time state estimation.

Created an open-source Bayesian filtering library supporting Kalman, Particle, and Ensemble filters with distributed execution.

Improved reliability of IoT forecasting, telematics scoring, and real-time analytics at scale.

Township businesses and individuals lack the technical skills and budget to build a web presence.

A community non-profit initiative that uses AI to help people in townships build websites using plain English — powered by an easy-to-use template project requiring no coding knowledge.

Empowering township entrepreneurs and community members to establish a digital presence with zero technical barriers.

Load-shedding caused fuel inefficiency, network downtime, and poor generator deployment decisions.

Developed a constrained optimisation engine with real-time streaming analytics to prioritise generator dispatch.

Reduced downtime by 5%, lowered operational costs by 30%, and supported R1B annual savings.

Enterprises required scalable geospatial intelligence for environmental, climate, and supply-chain risk.

Built analytics workflows using IBM PAIRS to process multi-terabyte raster and vector datasets.

Integrated into IBM's Environmental Intelligence Suite for global environmental monitoring.