At Econet AI, I run architecture governance for the AI portfolio and established a Technical Debt Registry within the Architecture Review Board process. ROI-based refactoring cut long-term maintenance costs by 15%, and early design validation reduced architectural rework by 25% across 12+ enterprise AI initiatives.
At Econet Wireless Zimbabwe, I designed the commercial-technical framework for a national API marketplace and architected AI-driven workflows that automated 40% of manual enterprise processes. Earlier, as a Solutions Architect, I refactored 20 core applications into microservices and led a cloud migration strategy that saved $800,000 a year.
I also built LexiZW, an AI legal research platform over Zimbabwean legal documents, and Mudhumeni, a production-deployed multilingual agricultural assistant. My work spans enterprise architecture, integrations and cloud, with certifications including TOGAF 9.2, ArchiMate 3.1 and Microsoft Certified Azure AI Engineer.

