• Developed a multi-platform React Native mobile application for data acquisition, enabling the collection of data that powered the creation of a high-performance ML sepsis detection algorithm.

• Created a real-time React.js dashboard to monitor patient status, facilitating data-driven decisions and enhancing the efficiency of medical trials.

• Built RESTful API services with 100% unit test coverage, ensuring reliable data and seamless business logic integration across platforms.

• Built a full-stack web application with Next.js, funded by NIH, to help medical professionals visualize and understand the inner workings of machine learning models, and collect feedback on model explainability.

• Established a CI/CD pipeline using Fastlane and GitHub Actions, cutting software deployment time by 50% for both mobile and web applications.

• Designed a PostgreSQL database for time-series data, hosted on Google Cloud, to enhance data management across development stages.

• Implemented a health monitoring system using Sentry.io, significantly reducing production downtime through rapid error detection and tracing.

• Integrated an analytics funnel in front-end applications, increasing user engagement by 25% through data-driven optimizations.

• Conducted a wearable device benchmark using statistical methods in Python, directly informing device selection and protocol development.

• Engineered native mobile apps for Android and iOS for wearable devices, ensuring reliable data collection using various protocols.

• Designed mechanical systems for wearable IoT devices, improving user experiences through iterative feedback loops.

• Sourced materials and vendors for wearable IoT devices, ensuring compliance with medical standards and enhancing product safety.

• Created UI wireframes and prototypes, identifying key features through user trials, optimizing user experience.

• Built a mobile app for wearable devices, facilitating seamless Bluetooth data reception and local storage in collaboration with embedded engineers.

• Designed and built web applications, visualizing user feedback and collected data, informing product iteration decision making.

• Collected and tagged data with wearable devices, trained an LSTM neural network activity classifier, and demonstrated results on a web application.

• Capture manufacturing and testing processes in the workshop, and create working instructions via VKS, aiming to improve those processes.

• Design of minor components to improve the production process, with CAD and 3D-printing.

• Detailed documentation of a maintenance process, and analysis of the results to suggest improvements and new production line layout.