•Built and piloted a kiosk‑based Android drink‑ordering app using React Native/Typescript
with integrated hardware control, leveraging a self-developed plugin architecture to go from
0→1 in 4 weeks. The app has been used by thousands of people across the country to order
beverages at some of the largest venues in the country, including Globe Life Field (The Texas
Ranger’s Stadium), T Mobile Park (The Seattle Mariners’ Stadium), The House of Blues, and
Mandalay Bay, among others. The kiosk is capable of processing 200+ orders/hour, delivered
each drink from order to pick‑up in < 1 minute, and generating $15,000+ in 3 hours.
Implemented over 20 feature flags to create custom client experiences based on location, and
integrated with POS systems such as Stripe and Shift4.
•Built Rotender's custom face‑ID matching system in Python using the Ray AI framework and
ensemble prediction across multiple models from DeepFace, achieving 97%+ matching
accuracy and reducing recognition time from ~60s to under 15s, compared to most face
matching SaaS.
•Built Rotender's client dashboard as a single-page application using Next.js, TypeScript, React, Redux, and Material-UI, which increased user engagement by 25% and reduced page load time by 40% through code-splitting and lazy loading
•Designed and implemented a Node.js/Express back end with JWT authentication and a
MongoDB database, following RESTful API principles.
•Performed code reviews for junior team members.
•Worked with various AWS services, such as EC2, S3, Cloudwatch. Set up sophisticated logging
and alerting for telemetry from embedded system. Managed deployments on Github Action.
