Helped optimize processes in SQL Server by analyzing the different queries and scripts involved, reducing execution time and lowering costs. Implemented Python scripts for comprehensive analysis and manipulation of extensive datasets to improve the quality of business decision-making.

Development of the Printto app, a mobile application used to serve as an interface for users to capture photos with their smartphones and print them in a polaroid format using Printto's specialized printers. Additionally, DevOps methodologies were implemented by automating the process of building, taking screenshots of the app, and launching it to the AppStore and PlayStore with the use of Fastlane and GitHub Actions. The app was built using the Flutter framework.

Improvements for the Girolimpio project, managed by the Energy Sustainability Agency (AgenciaSE). Upgraded and developed new business logic modules, data visualization modules, reports, and forms, on existing platform based on Laravel Framework. API development and integration with other platforms for automatic data fetching.

Designed and developed a project for HuellaChile, supported by the Ministry of Environment, consisting of a CO2 emission calculation system that takes into account various processes executed by a company or event. In addition to this, an award system was implemented for companies whose reports and emissions meet HuellaChile's award requirements. The project also included API integration for user management and authentication. The system was developed using the Laravel Framework.

Worked on a web platform designed to facilitate the organization and management of financial processes for Territoria Consultores. My responsibilities included code refactoring, as well as implementing new business logic and report modules. This work was conducted on top of an existing system built on pure PHP.

Contributed to the development of a web platform for CONAF (Corporación Nacional Forestal), used for terrain analysis and visualization of the Chilean territory. This involved processing geospatial database information and projecting different soil attributes using Uber's H3 grid system, as specified by the client. The platform's frontend was built using React.js, while its backend was implemented using Express.js and Node.js.

Developed a Python-based web scraping tool using Selenium, along with packet interception techniques, to extract data from various online sources. This involved gathering information on destinations and attractions from all over the world, including descriptions, schedules, pictures, reviews, and ratings.