Working on Medtronic’s next generation of automated insulin delivery devices on the firmware cybersecurity team within R&D.

• Cybersecurity - Developed and maintained security API’s to ensure industry standard secure communication, storage, and transfer of internal messages within the insulin pump ecosystem (pump, mobile application, and cloud)• Created a customizable, automated testing application and GUI to decrease smoke test time by 30%, tool was later utilized to analyze and improve device battery consumption by 50%.• Simulated and validated improvements to secure cloud firmware updates and data collection on insulin pump embedded system (utilizes STM32 Arm Cortex microcontrollers / MCUs).

• Artificial Intelligence - Developed machine learning algorithms to build new product development systems based on analysis of current products and user satisfaction, providing direction for pharmaceutical product management and research and development.• Forecasting System Development - Collaborated with a team of analysts to create financial and economic models for forecasting the opportunity for new products; created a system for global modeling and epidemiology forecasting of a new anti-obesity product launch which was showcased in a Wall Street healthcare presentation.• Market and Data Analysis - Designed and implemented a tracking system and KPI dashboard to monitor the success of a new product launch, conducting secondary data analysis using statistical programming. Developed a decision matrix tool to evaluate various new pancreatic cancer drugs, generating key findings for agent development.Assisted analysts in developing financial and economic models, analyzing web survey data using IBM SPSS statistical programming; collaborated directly with clients from various departments to gain an in-depth understanding of user requirements and project specifications.

• Software Development - Worked with multi-functional departments / teams to formulate data requirements and contribute to development of a cloud-based physician/patient portal used to track patient diabetes compliance and outcomes fed by insulin pump data.• Improved Testing Procedures - Improved mobile app testing framework to increase efficiency and functionality using Page Object model format; re-designed system -- resulted in a 70% improvement in testing throughput.• Refined the patient therapy and sensor-reliability experience across several smartphones and operating systems by designing, writing, and automating the debugging of 30+ test scripts.