- Developing backend big data pipelines and microservices ingesting & transforming ~20,000 digital events per second- Built data validation, debugging, and ingesting microservices reducing data producer development process- Developing prototype to improve data governance and ownership of ETL processes for Nike consumer behavior data

- Founded and developed a mobile app, Dinvite, to help groups more easily decide on and organize activities and eateries using chat-integrated applications- Interviewed and ran prototype testing with 100+ customers- Collaborated with VCs, founders, and other young entrepreneurs to develop product- Developed and launched full-stack application to App Store, reaching #12 for Food & Drink iMessage Apps

- Developed productionalized full stack prototype solution for searching 1000+ pre-production shoe samples.- Deployed searching service to Amazon ECS to be integrated into other Nike innovation projects.Interviewed and presented prototypes to stakeholders for project iteration.- Additionally, interviewed customers, collaborated with other interns, and iterated designs to develop suggested improvements to the SNKRS app for the Intern Combine

Formed and maintained an inclusive and tightly-knit community amongst 70+ freshmen by organizing community events, designing programs, solving conflicts between residents.

- Developed a Convolutional Neural Network model to predict progression of macular degeneration using Optical Coherence Tomography Scans from clinical Retina data.- Developed U-net for segmentation, as well as explored MVCNN & VoxNet architectures to achieve 0.89 AUC- Researched microfluidic and acoustofluidic devices in Duke's Acoustofluidic Laboratory

Presented an IoT product idea to Intel managers after following an entrepreneurial style of innovation. The program included practice with customer validation, rapid ideation, market research, and presentation development.