NeuroICU Decision Aid Project with UMass Chan Medical School

• Built in-house participant behavior analytics tools using Python, Flask, SQL, and JavaScript.

• Designed and prototyped user interfaces using Figma.

• Integrated new designs and features using responsive interfaces with CSS, Bootstrap, and React.

• Collaborated with researchers and participants to iterate the application and publish a study.

Habit and Exercise Tracker Mobile App Study

• Identified and implemented improvements to app interfaces using Flutter and Dart.

• Redesigned notification and reminder system with TypeScript and Express.

• Implemented key features in the next-generation fleet tool suite using React, NestJS, and GraphQL, addressing core use-cases for internal and external fleet stakeholders.

• Collaborated with Data Platform and Fleet Applications teams to develop a data pipeline and define roadmap of improvements.

• Developed fixes for existing fleet tools, enhancing functionality for multiple teams.

• Built and deployed shared user preferences service, enabling tools customization for internal users.

• Advocated for fleet suite use-cases in team all-hands meeting and company-wide showcase.

• Accelerated robotics testing cycle by 40% through improvements and new features in testing tools using React, TypeScript, and PostgreSQL.

• Spearheaded reusable component system for new testing platform, informing subsequent versions.

• Explored video streaming over NATS messaging pipeline for vision system unification with Python.

• Presented in company all-hands and to external customers about capabilities of testing tools.

• Created dashboards for displaying farm data using R.

• Wrote and deployed farm data collection tests using Python.

• Worked with the engineering team to improve the farm data collection pipeline.