- Launched MVP in 9 days to practice conversational Italian with AI (GPT-4o)- Created chat for voice and text conversational practice- Created JoJo daily (jojo.so/daily) - For fun daily Italian practice.- Scaled to 21 paying customers

- Created backend infrastructure and surveys to tag 14 million users by their cohort to offer them tailored experiences- Ran several A/B tests to increase marketing efficiency by identifying which designs, copy, and features led users to upgrade to a premium membership- Wrote advanced SQL queries to measure cash-flow impact, user activity, and survey completion rate through an iterative process focused on two-question, multiple-choice surveysStack: Ruby, React (Typescript)

- Improved RSpec testing functionality for several Lightroom microservices to reduce defects/bugs and increase efficiency by over 30% - Participated in daily Agile/Scrum meetings to ensure that the user stories and business requirements were consistent. - Created backend support for cloning media data between multiple lightroom accounts

Working with the Advanced Research Computing (ARC) center to create a website to visualize power outages at nuclear power plants. Tools: Python, Django, D3.js, JavaScript.

- Added Swagger documentation support to enable automatic documentation updates for dozens of Visa API endpoints that supported Apple Pay integrations.- Updated the existing mock API Console by adding support for testing several HTTP status codes that would be returned from testing API calls prior to pushing code to production. Tools: Java, Javascript, Maven, Swagger, Postman

• Utilized Python’s Django web framework to create several surveys (forms) that would gather information about participants engaging in a study to learn how altruistic people are in online social gaming environments. • Engaged in weekly meetings with my graduate student mentor to ensure steady project progression.Tools: Python, Django

• Analyzed dozens of 24 hour in length h.264 videos recorded by Raspberry Pi’s that were attached to door frames in homes for a smart home / internet of things research project.• Utilized Python and OpenCV to capture desired frames in videos to identify a person in a household by their height and associate their energy usage with their height.• Collaborated weekly with my graduate student mentor, associate research professor, and other graduate students in the lab to collect feedback and ensure steady project progression.Tools: Python, OpenCV