Teboho Mabe's Work | ContraWork by Teboho Mabe
Teboho Mabe

Teboho Mabe

Full-stack & mobile developer | Business apps & dashboards

Cover image for Project AEON is a mobile
Project AEON is a mobile sci-fi narrative experience currently in active development, evolving from my earlier Olympus Oracle application. I’m developing a tactical terminal interface where players interact with fictional factions through branching dialogue and streamed AI conversations. The project combines React Native interface development with a Python FastAPI service for conversation handling and separate faction histories. My work includes animated viewport transitions, theme-driven styling, local state persistence and fallback behaviour for supported application features. Status: In active development. Screenshots show the current prototype, not a finished product.
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Cover image for Built a working mobile application
Built a working mobile application combining habit tracking, progression mechanics and conversations with mythological AI characters. Integrated Ollama with distinct character prompts informed by reference material, contextual conversation history and in-app currency gating. Created an interactive interface using React Native, Expo, Skia and Reanimated. The project later evolved into Project AEON.
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Cover image for Delivered a technical consulting engagement
Delivered a technical consulting engagement in September 2026 to stabilise a LearnDash educational platform. Addressed backend and session issues, secured registration endpoints, automated the removal of thousands of unauthorised bot accounts, restored mail routing and streamlined the interface. Produced management-facing reports documenting findings, remediation and monitoring recommendations.
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Cover image for Relay Ops is a self-directed
Relay Ops is a self-directed equipment-monitoring and incident-management demo built with TypeScript, React and PostgreSQL. I developed telemetry alert logic, database persistence, an interactive dashboard, a local simulator and automated tests. The project demonstrates how abnormal readings become trackable incidents, with documented behaviour and limitations. It is a simulated portfolio application, not a deployed industrial system.
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