David Kanyango

- Designed a mobile platform to track M-Pesa healthcare payments across rural dispensaries and hospitals. - Integrated patient and payment systems enabling secure, real-time reconciliation of medical transactions. - Architected backend and database systems ensuring secure handling of sensitive healthcare and financial data.

- Built a production-grade SaaS backend (Node.js, Go) automating mobile payment tracking and reconciliation across hundreds of merchant locations. - Designed scalable APIs ingesting and normalizing M-Pesa transaction data with real-time processing guarantees. - Reduced reconciliation turnaround time by over 80% through automated validation and ledger consistency checks. - Implemented structured product and stock APIs supporting fuel and retail operations. - Delivered real-time dashboards with alerting and transactional insights.

- Architected and built high-throughput RESTful ingestion services processing 10K+ M-Pesa STK & Paybill transactions daily across multi-location fuel retail operations. - Designed real-time reconciliation pipelines reducing manual financial errors by 80%+ while improving transaction visibility. - Built scalable SaaS forecourt management and inventory tracking systems supporting fuel dispensing, sales monitoring, and stock flow automation. - Engineered merchant dashboards with live operational metrics and alerting. - Implemented concurrency-safe transaction handling, idempotent payment processing, and fault-tolerant retry mechanisms. - Optimized database queries and backend services to maintain performance under peak transaction spikes.

- Led development of an AI-based ID scanning system using TensorFlow Lite. - Achieved >95% OCR accuracy and improved maintainability through systematic refactoring.