I am a Computer Science graduate with hands-on experience developing, deploying, and supporting full-stack software applications. I am seeking a Graduate Trainee or junior software development role where I can contribute to reliable, user-focused products.
I work with Python, C#/.NET, TypeScript, JavaScript, SQL, Node.js, FastAPI, Next.js, and React Native. My experience includes building REST APIs, designing databases, integrating mobile payment gateways, and delivering applications across web and mobile platforms.
I have practical experience with PostgreSQL, MongoDB, Neo4j, Azure Cosmos DB, Supabase, and Microsoft Azure services. I am comfortable managing production backends, serverless functions, access control, backups, deployment workflows, and CI/CD pipelines.
I have also supported internal software users as a Software Engineering Intern, providing Tier 1 and Tier 2 troubleshooting for application defects and network connectivity issues. I enjoy debugging issues, improving system stability, and documenting technical solutions clearly.
My project work includes an AI-powered venue discovery platform, a real-time AML and compliance fraud detection system, and a full-stack e-commerce platform. I learn new tools quickly, work independently when needed, and collaborate effectively in small engineering teams.
I contributed to the development and deployment of updates for the VTrack system using .NET and JavaScript, improving application functionality across production environments.
I identified, debugged, and resolved defects in internal applications to improve stability and performance. I also provided Tier 1 and Tier 2 internal technical support, troubleshooting software issues and network connectivity problems to reduce operational downtime.
I designed, built, and deployed a live AI-powered venue discovery platform for Android and web users in Harare. I managed the application lifecycle from database design and development through hosting, deployment, and pilot-user support.
I administer the production backend, including PostgreSQL, serverless functions, backups, and access control. I integrated EcoCash and Paynow payment gateways and presented the platform's business model and technical architecture at the POTRAZ AI4I National Innovation Bootcamp and Challenge 2026.
I built a real-time transaction screening system for financial compliance using Python, FastAPI, machine learning, and Neo4j. The system combines anomaly detection, classification models, and graph analytics to identify suspicious multi-party transaction patterns.
I developed and documented a backend REST API designed to operate under concurrent load. I also automated compliance data collection and reporting workflows.
I contributed to the delivery of a full-stack e-commerce platform as part of a three-person development team. My work focused on backend development, local payment integration, and deployment.
The platform was built with Next.js, Node.js, MongoDB, and TypeScript, providing practical experience in collaborative product development and production delivery.
Bachelor of Technology, Computer Science
Graduated with Upper Second Class honors. Relevant coursework included object-oriented programming, system analysis and design, mobile app development, cloud computing, big data and analytics, machine learning, information security, and IoT.
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