Fitti Weissglas

Principal Software and Data Engineer

🔹 Founded the Informatics Hub – Established and led a global team of 45+ software, data, and cloud engineers to support UCSF’s global digital health initiatives, primarily in Africa. The Hub provided enterprise-scale software solutions, including National Data Repositories, EMRs, data visualisation platforms, and AI-powered analytics tools. Beyond engineering, this initiative involved securing funding, mentoring emerging leaders, and bridging the gap between software development and global health needs.

🔹 DUFT (Dynamic Unified Framework for Transformation or Data Use Facilitation Tool) – An advanced platform designed to enhance data integration, management, and visualisation built using Python and React, overcomes long-standing challenges in data-heavy environments, particularly in fragmented health information systems. (Open-sourcing soon!).

🔹 TSIS2 (Django-based EMR for HIV) – A highly scalable electronic medical records system based on Django/Python designed for streamlined HIV care, featuring real-time data synchronisation, advanced role-based access control, and seamless interoperability with national health information systems. It includes a powerful XF Framework make CRUD operations and automated UI development easy.

🔹 National Data Repositories – Architected and implemented large-scale, multi-source data warehouses for analytics and decision-making. Built using a Modular BI approach—a layered architecture enabling multiple levels of data transformation and analytics, ensuring maintainability, scalability, and version-controlled governance for continuous improvement.

🔹 SwiftUI Experiments – Hobby projects exploring SwiftUI for mobile development, such as this Train app (in Dutch) showing realtime departure times of trains at train stations.

🔹 OptionB+ App (Objective-C, iOS) – Developed and published in the Apple App Store (2015), enabling health workers in Uganda to monitor the rollout of providing drugs to HIV+ mothers, ensuring adherence and improving maternal health outcomes.