• Built a cross-platform mobile nightlife app in React Native and Expo, leveraging AI-assisted coding tools to

accelerate feature development and iteration speed.

• Integrated REST API backend and Supabase storage for real-time data handling.

• Delivered geospatial queries via PostgreSQL to power venue discovery and real-time crowd insights, visualized with MapLibre and MapboxGL.

• Developed advanced filtering tools enabling users to sort venues and events by criteria such as location, type, popularity, or live status.

• Designed UI mockups and user flows in Figma to communicate product concepts to investors.

• Built a functional MVP using rapid, AI-assisted development workflows and pitched to investors, including

LiveNation executives and mobile app teams.

• Conducted market research with local club owners to define pricing models and user-focused feature sets.

• Ran UX trials with student groups, improving app usability and feature adoption.

• Led 0-to-1 development of a greenfield React/TypeScript data visualization project that became company’s flagship product.

• Extended Node.js microservices backend with REST APIs for real-time data integration.

• Optimized high-frequency data filtration via MongoDB geospatial functions and Kafka stream processing.

• Deployed CI/CD pipelines using Docker, Kubernetes, and GitLab.

• Leveraged AWS and ArcGIS to deliver geospatial data visualization tools for enterprise clients, including Credit Suisse and Verizon.

• Led frontend design and architecture of a new analytics dashboard using React, TailwindCSS, and D3.js.

• Built reusable, customizable dashboard components and implemented testing with Cypress and Jest, using AI tools to improve test coverage and development efficiency.

• Implemented state management with Zustand to simplify complex React data flows, improving code maintainability and reducing component re-renders.

• Mentored new hires on responsive design and maintainable component styling.