Developed the Integrated Human Resource Information System (iHRIS) and the Global Open Facility Registry (GOFR): iHRIS is an open-source software designed to help countries manage, analyze, and optimize their health workforce data. It supports evidence-based decision-making, enabling governments and organizations to ensure that the right health professionals are in the right places, thereby improving the efficiency and accessibility of healthcare services. Additionally, I contributed to the development of the GOFR, an open-source platform that provides a standardized global registry of health facilities. This initiative aims to enhance the organization and accessibility of health facility data, supporting better resource allocation and healthcare planning on a global scale.

• Led iHRIS Development at a national level, enhancing data accuracy by 43% and improving resource allocation.
• Automated ETL pipelines for FHIR data sync (1 day → 1 minute).
• Boosted query speed 60% via Elasticsearch, streamlining analytics and reporting.
• Designed automated data migration pipelines and overhauled documentation, reducing manual effort by 35% and halving on-boarding time for new developers.

Led the end-to-end development and migration of the Guzo Travel Planner platform, delivering a scalable backend infrastructure that achieved 40% performance improvement alongside an intuitive user interface that enhanced SEO rankings.

• Implemented Next.js SSR with TypeScript interfaces, improving SEO and increasing organic traffic by 25%.
• Migrated backend to Spring Boot, achieving 40% performance gain.
• Integrated secure payments, cutting processing time 50% and reducing fraud.
• Built Python/Django stock/call systems, slashing call handling time 35% and boosting inventory accuracy 45%.

Designed and implemented an e-commerce platform using the MERN stack and Flutter for mobile app development.

• Gathered and analyzed requirements for e-commerce platform development.
• Designed and implemented new features for both web and mobile applications.
• Performed comprehensive unit testing to ensure code quality.
• Designed and implemented user interfaces for optimal user experience.

Developed an online cinema reservation system web application using Angular and ASP.NET Core.

• Developed front-end and back-end components of the cinema reservation system.
• Integrated various features to ensure smooth and seamless user experience.
• Created a platform for users to easily browse and reserve movie tickets.
• Implemented secure booking and payment processing functionality.

Built LLM-powered movie recommendation RAG system using Phi-3 LLM and Neo4j, enabling intelligent plot-based search and content generation.

Built TensorFlow/Keras deep learning models to classify emotions from speech patterns, achieving 87% accuracy.

Developed a web-based marketplace connecting farmers, wholesalers, and micro enterprises, enabling competitive pricing for producers and quality products for buyers.

Developed a machine learning platform that predicts academic performance and recommends suitable fields of study based on students' academic records.