Ricardo D'Alessandro

As a front-end engineer, I developed a professional bull riding mobile application consisting of a React Native-based platform for fans to engage with Professional Bull Riders (PBR) events. Despite a challenging deadline, I leveraged my TypeScript expertise to ensure the application's robustness and scalability, contributing to its rapid deployment.

The PBR application offers many features, including real-time updates on event schedules, news, videos, and standings. A standout feature is the interactive mini-game "Ride or Wreck." To manage the data generated by these features, I utilized GraphQL for efficient data fetching and Firebase for reliable back-end services. I also integrated Segment.io to track user interactions, enabling continuous improvement based on user behavior. In short, my role was to develop a feature-rich, technically efficient application using cutting-edge technologies within a tight deadline.

As a front-end engineer, I contributed significantly to developing Property Assistant, a mobile application built using React Native. This application is designed to facilitate property owners and managers by streamlining their operations, eliminating the need to schedule in-person visits.

My primary responsibility in this project was the implementation of a chatbot. This AI-powered assistant guides users through various processes, including property reviews, inspections, and insurance claim submissions. The chatbot's intelligent design and user-friendly interface make it an invaluable tool for property owners and managers, simplifying their tasks and saving valuable time.

The use of React Native in this project was instrumental in ensuring a seamless user experience across different mobile platforms. The framework's capabilities were leveraged to create a responsive and intuitive user interface, enhancing the overall functionality and user engagement of the Property Assistant application.

As a front-end engineer, I played a crucial role in creating Piñata, a mobile application developed with React Native. This innovative platform empowers renters by enabling them to improve their credit scores and earn rewards for timely rent payments and other behaviors incentivized by landlords.

My role in this project was diverse, requiring various technical skills. I utilized Redux for state management to ensure a smooth data flow and consistency across the application. TypeScript enhanced JavaScript's static typing, improving code readability and maintainability while minimizing runtime errors. I integrated Amplitude for product analytics, providing valuable insights into user behavior and application performance, informing our decision-making process and facilitating continuous improvement of user experience. To bolster the application's robustness and reliability, I implemented Sentry for real-time error tracking, significantly improving our ability to promptly detect, diagnose, and resolve issues.

In summary, my contributions to Piñata have helped to streamline the rent payment process and promote responsible financial behavior, offering benefits to both renters and landlords.