Randburg, Gauteng, South Africa
Cloud, Backend & Platform Engineer focused on building secure, scalable, cloud-native systems (AWS, Azure, Google Cloud Platform and Oracle Cloud) that support real production workloads. Strong ownership across backend architecture, APIs, databases, and platform reliability, with hands-on experience integrating AI and data-driven capabilities into backend systems to improve decision-making and operational outcomes. Core strengths • Backend systems, APIs, database design • Cloud infrastructure (AWS, Azure, GCP & OCI), Docker, Kubernetes, CI/CD • Security, performance and production reliability Recent impact • Built and operated systems processing 10,000+ transactions/month with >99% uptime • Led CI/CD improvements increasing deployment efficiency by 85% • Designed secure API platforms serving 650+ subscribers, 20+ admins and 10,000+ guest users with RBAC and audit controls I value clear ownership, thoughtful system design, and long-term scalability, and I enjoy working on systems where engineering quality directly impacts business outcomes.
● Built 14+ machine learning and AI engineering projects; deployed 11 production-grade applications (TypeScript, AWS, Vercel and CI/CD), implemented LLM-chaining, hyperparameter tuning and fine-tuning on multiple models leading to reduced inference latency by 35% and 18% accuracy improvement ● Delivered 5 AI-powered SaaS products with full dev/production environments and payment integrations (Stripe), serving an average of 1k users each
Led end-to-end development and infrastructure for 12+ enterprise applications, combining full-stack engineering with DevOps and cloud architecture across fintech, e-commerce and SaaS sectors. Design and delivery of backend systems using Java (Spring Boot), C#/.NET Core, PHP (Laravel), Python (Django), Ruby on Rails, React, Next.js, Vue.js, Angular, AWS, Azure, Docker, Kubernetes and CI/CD (ArgoCD, Git Hub actions, Git Lab). Also led mobile platform development (React Native & Expo). ● Delivered and maintained high-availability full-stack platforms across Java, .NET, Python and TypeScript, achieving 99.9% uptime and 40% performance gains through DB indexing and CDN optimisation ● Automated 4+ CI/CD pipelines and 7+ serverless workflows (AWS Lambda), cutting setup time by 30%, operational downtime by 40% and MTTR by 50% via Datadog and Grafana observability ● Embedded AI and LLM capabilities into production applications, boosting response accuracy by 20% and user engagement by 50%
SKN Capital Investments / Fraser Control Solutions (Pty) Ltd 🌾 Impact and Expertise • Production Scaling: Efficiently managed diverse livestock operations, maintaining high productivity across multiple species, demonstrating mastery in breeding cycles and yield maximization • Infrastructure Development: Designed state-of-the-art livestock housing facilities that improved animal welfare, streamlined operations, and increased production capacity • Health & Welfare Innovation: Integrated synchronized health management protocols to ensure peak livestock health, minimizing disease outbreaks and improving overall farm output