Software engineer and product builder combining mobile engineering, QA automation, and applied cybersecurity research. I ship independent products, write about software, and study how AI-generated code interacts with mobile security — currently as an MSc candidate at GIMPA.
I work at the intersection of mobile engineering, product development, and applied cybersecurity. My background is in QA automation and test infrastructure — designing systems that keep production software honest — but my independent work extends well beyond testing, into shipping real products and doing security research.
On the product side I've built and published mobile apps independently, including PrepMate (an AI-assisted study app for GIMPA students) and Verge (a personal finance aggregator for Ghana). I'm drawn to practical engineering problems with clear real-world impact — particularly in education technology and fintech.
My MSc research at GIMPA investigates how mobile development frameworks and Backend-as-a-Service platforms can enforce secure practices by default, specifically in the era of AI-assisted coding where developers may unknowingly ship vulnerable code generated by tools like GitHub Copilot or ChatGPT.
A mobile study application built for GIMPA students, providing 2,000+ past questions across 50+ courses organised by school, department, and year. Features an AI-powered study assistant, full offline mode, and smart search. Built, published, and maintained independently on iOS and Android under Aydat.org.
A personal finance aggregator for Ghana that consolidates MTN MoMo, Telecel Cash, Stanbic Bank, and Absa into a single dashboard. Automatic transaction categorisation, smart alerts for balance changes and salary deposits, and an AI financial advisor layer. Built with Papa Kobina Bosomtwe.
An open-source Python CLI tool that measures and analyses performance metrics for Android and Flutter apps via ADB — CPU usage, memory (PSS and heap), UI frame rendering, jank rates, and cold/warm startup times. Generates structured JSON output, actionable recommendations, and a 0–100 performance score. Not under active development; published as a useful reference tool.
MSc research at GIMPA investigating how mobile frameworks (Flutter, React Native) and BaaS providers (Firebase, Supabase, AWS Amplify) can enforce secure development practices by default — specifically to mitigate vulnerabilities introduced by AI-assisted coding tools. Applies the OWASP MASVS v2.0 framework across 300 AI-generated code samples. Supervised by Dr Joseph Budu.