I'm Willy Mateo,

I contributed to a wide range of impactful projects, showcasing my full-stack expertise. For instance: I rebuilt the entire version 3 of the company's landing page, adding dynamic animations with CSS, improving SEO through server-side rendering using Express.js, and ensuring the site was multi-language with i18next. I also developed the 'Permissions Manager' , where I designed a shared React component to manage user and company permissions, significantly reducing manual requests for permission changes. Another major project was enhancing the delivery location manager, where I improved the user experience by displaying real-time location updates on a Mapbox-powered map, allowing operators to make precise location adjustments with ease. Furthermore, I played a pivotal role in the 'Driver Payments V2' project, starting with the frontend and later taking on backend responsibilities, utilizing AWS Lambda, Terraform, and Elasticsearch to optimize data retrieval performance. In every project, I worked closely with cross-functional teams, integrating solutions that not only improved system efficiency but also reduced operational overhead, helping Shippify scale its services more effectively.

I maintained a CRM system and web service for Huawei, ensuring seamless functionality for their enterprise needs. A key aspect of my role was using PSQL to create SQL scripts that migrated data from old to new tables, while ensuring data integrity by avoiding duplication and ambiguous entries. I also worked with microservices and orchestration services to streamline operations for both Claro and Huawei. Throughout the project, I utilized technologies like JavaScript, HTML, CSS, and SCSS to enhance the system's interface and performance.

I played a key role in developing version 2 of an application dedicated to the buying and selling of health food. The primary challenge was to enhance user experience by implementing new features and improving existing functionalities. To address this, I implemented password recovery for user accounts and developed flows for registering customer allergies, which personalized the shopping experience. I also created functionalities for editing customer and seller information and added form validations in the sign-up forms to ensure data integrity. On the backend, I maintained and updated the RESTful API using Django and updated the database schema with SQLite to accommodate new features. I utilized React and Redux for frontend development, ensuring a responsive and intuitive user interface. Node.js was used for server-side operations, and I leveraged GitHub for version control, GitHub Actions for continuous integration, and deployed the system using Railway. Rigorous testing of the entire system ensured a robust and user-friendly application. This project showcased my ability to solve complex problems using a full stack of technologies, including React, Redux, Node.js, Django, SQLite, JavaScript, and RESTful APIs.