Overview: Creating software infrastructure (controls API, real time data acquisition, and data

science pipelines) for the development of surgical tools on a medical robot.

• Architected and developed multi-threaded, real time data collection and test

platform on QT/C++

• Implemented real time robotic controls and provided high level Python APIs to

control and test robotic surgical tools

• Provided infrastructure to process and analyze robotic test data by developing an

automated data pipeline on Microsoft Azure

• Implemented DevOps pipelines built on Jenkins to continuously ensure code

quality with SonarQube, unit testing, and delivery of franchise software

• Engineered wearable nitric oxide delivery system by developing on STM and TI ARM microcontrollers with C/C++

• Programmed GUIs on embedded systems to integrate peripherals such as accelerometers, pumps, and valves using protocols such as I2C, UART, SPI, etc. with RTOS

• Incorporated Bluetooth low energy to communicate between wearable and React Native mobile app

• Rectified design controls documents and FMEAs in preparation for FDA preapproval inspections