Enrico S.

Fora Health is a digital healthcare platform supporting collaboration between patients and care providers, with features for treatment tracking, clinical decision support, and evidence-based health information.

• Took ownership of the Android application as the sole Android engineer, managing development across feature delivery, maintenance, and technical improvements.
• Led the migration of the chat architecture from a single-threaded to a multi-threaded model, improving responsiveness and scalability without disrupting the existing user experience.
• Delivered new mental health monitoring features in collaboration with clinical, product, design, backend, and iOS teams.
• Worked with Kotlin, Jetpack Compose, Clean Architecture, coroutines, Retrofit, and Dagger Hilt to maintain a reliable and testable Android codebase.
• Used Claude Code to support repetitive development tasks and feature scaffolding while maintaining direct control over architectural decisions and code quality.

Technogym is a fitness and wellness technology company providing connected training equipment, digital fitness products, and software used across consumer and professional environments.

• Developed and maintained Android features for Technogym Live, including content streaming, music streaming, and graph-based workout result visualizations.
• Improved application stability from 90% to 99%, according to Firebase Crashlytics, by triaging, debugging, and resolving production issues.
• Built an internal tool that generated Android API clients from Swagger documentation, covering approximately 90% of backend APIs and reducing new feature development time by around 20%.
• Owned approximately 50% of the company’s internal Android libraries, serving as a technical reference point for multiple engineering teams.
• Improved Android CI/CD workflows and release processes, contributing to an estimated 30% reduction in release cycle time.
• Led the early architecture of the Technogym Live SDK, defining a software–firmware–hardware decoupling layer and preparing design documents that were approved through internal engineering reviews.

AIS Lab is an applied research environment focused on intelligent agent systems and digital health applications, combining software engineering with academic research.

• Developed a proprietary messaging application as a continuation of the healthcare chatbot work initiated during the internship.
• Built frontend components using Dart, Flutter, Flutter Web, and React.js, supporting multi-platform interaction with the chatbot system.
• Developed backend services using Python, SPADE MAS, Node.js, Docker, MongoDB, and Pryv.io.
• Managed the full development lifecycle independently, translating researchers’ requirements into concrete tasks and delivering them end to end.
• Co-authored EREBOTS, a peer-reviewed research paper on a privacy-compliant, multi-scenario health assistant chatbot platform.

HES-SO Valais-Wallis is a Swiss university of applied sciences with research activity across technology, health, and applied intelligent systems.

• Developed a distributed healthcare chatbot platform for personalized health-assistant scenarios in collaboration with researchers from multiple disciplines.
• Customized the system for three real-world healthcare use cases: smoking cessation support, motor skills preservation, and support for breast cancer survivors.
• Built a web interface for system management, enabling researchers to configure and monitor the applications.
• Implemented backend and integration components using Python, SPADE MAS, Node.js, MongoDB, Docker, and Pryv.io.
• Conducted performance testing and analysis to evaluate the behavior and performance of the developed applications.