About

Work Experience

• Data Platform Software Engineer, PwC South Africa

  Oct, 2024 - Present

  Designing a bespoke data modelling platform enabling actuarial and data-science workloads end-to-end (ingest → processing → storage) with reliability and scale.

  • Architected ingestion, processing and storage layers for actuarial analytics (Python, SQL, Kubernetes/OpenShift, DevOps).

  • Established platform guardrails for performance, reproducibility and compliance.

  • Accelerated model delivery by standardising pipelines and environments.

• Site Reliability Engineer, BMW IT Hub South Africa

  May, 2023 - Sep, 20241 year 5 months

  SRE/DevOps for Plant Connectivity—a real-time automotive data platform—focusing on uptime, observability, and automated delivery.

  • Hardened runtime and deploy paths with Kubernetes, Docker and CI/CD to improve reliability of high-volume data flows.

  • Implemented actionable observability to shorten detect→diagnose cycles for production incidents.

  • Codified infra as code and release workflows to reduce change risk.

• Principal Machine Learning Engineer, Vision Bank

  Oct, 2022 - Apr, 20237 months

  Led design of the enterprise data platform inside the Data & Advanced Analytics team.

  • Built ingestion & streaming foundations with schema and lineage management (Python, SQL, Kafka).

  • Enabled production ML + reporting by unifying operational and warehouse data paths.

  • Set MLOps practices for reliable deployment and monitoring of models.

• Development Chapter Lead, Vision Bank

  Nov, 2021 - Sep, 202211 months

  Chapter Lead in a startup digital bank, overseeing 60+ software and test engineers across multiple tribes.

  • Raised engineering standards across SDLC; advanced test automation and CI/CD.

  • Balanced people leadership with technology direction (C#, Python, DevOps).

  • Improved delivery velocity by streamlining ways-of-working and tooling.

• Chief Technology Officer, Fractal Labs

  Oct, 2020 - Oct, 20211 year 1 month

  Technology strategy and delivery for a data analytics provider (continuation of MyBucks post-restructure).

  • Shipped analytics & fraud solutions across SQL/NoSQL and ML stacks (MS SQL, MongoDB, Neo4j, Python, C#, XGBoost, CUDA).

  • Ran HA deployments on Kubernetes/OpenShift with strong DevOps/MLOps.

  • Delivered client-facing platforms and integrations at production scale.

• Data Scientist, MyBucks

  Jan, 2018 - Sep, 20202 years 9 months

  Platform engineering, MLOps and fraud detection in a financial services environment.

  • Built 3 HA OpenShift clusters and CloudStack infra automated with Ansible.

  • Implemented 25+ GitOps CI/CD pipelines to speed safe delivery.

  • Provisioned HA Kafka, Elasticsearch, Neo4j, PostgreSQL, MySQL.

  • Led Python+Neo4j fraud detection initiative from prototype to prod.

  • Delivered cross-platform integrations across 25+ projects.

• Founder, Marching Kubes

  May, 2013 - Present

  Boutique consultancy for data platforms, ML/MLOps, DevOps and GIS/3D.

  • Designed OpenShift OKD architectures across public/private/hybrid.

  • Delivered CI/CD and infra automation (Kubernetes, Docker, Ansible).

  • Built custom 3D, photogrammetry and GIS software for real-time visualisation.

  • Consulted on LLM/agentic integrations and knowledge retrieval (LangChain, LlamaIndex, MCP) where appropriate.

• Senior Software Engineer, Various Clients

  Jun, 1999 - Dec, 201718 years 7 months

  Mission-critical enterprise services and geospatial/ERP systems across finance, insurance, manufacturing, logistics and surveying.

  • Built call-centre integrations and insurance backends (.NET/C#/WCF/SQL).

  • Engineered ERP and embedded solutions (C#, T-SQL, Oracle, C/C++).

  • Developed 3D terrain rendering & satellite projection (ASP.NET, C#, T-SQL).

  • Created PowerShell + SQL-SMO reverse-engineering tools for complex SQL estates.

  • Delivered mobile asset/logistics systems with interactive geospatial tooling.

Projects Experience

• Fraud Graph Detector

  - Present

  In-house fraud detection using graph features and ML.

  • Python + Neo4j graph modelling and feature extraction for fraud patterns.

  • Operationalised scoring within existing data platform and CI/CD.

• OpenShift HA Clusters

  - Present

  Production OpenShift built to reference architecture with full IaC.

  • 3 clusters; automated provisioning with Ansible and CloudStack.

  • Deployed Kafka/Elasticsearch/Neo4j/Postgres/MySQL in HA topologies.

• Geospatial 3D Terrain System

  - Present

  3D terrain rendering, hypsometric tinting and satellite projection for survey workflows.

  • Scheduling/data-acquisition and video-processing pipelines.

  • Delivered as robust, maintainable .NET services.

Skills

Education

Interests