• Took requirements directly on client premises (Plywood factory) and installed the company’s -customized- software. Working directly with Data Analysts and empowering with reliable and useful data. Reducing downtimes in dryers machines more than a 20% and improving veneer classification by up to 50% in some cases. • Worked the data all the way up from PLC (Programmable Logic Controllers) to SQL/Reporting (SQL Server) in a full stack application. • Corrected the databases. Ensured database normalization and referential integrity, following a single source of truth principle. • Made data dictionaries for large databases and connected them to LLM agents, making it immediately useful for other developers and support staff. • Developed Image recognition software using OpenCV and self-hosted Vision Language Models for automation of quality control tasks and SAP integration in plywood manufacturing. • Utilized Azure Cloud services for scalable data processing and storage solutions.

• Participated in the development of a complex React Native application, contributing significantly to the attainment of the startup’s objectives and facilitating the acquisition of additional funding. • Worked on the pdf report automatization for various agronomy, geology, and construction applications, using AppScript. • Maintained mobile and web applications within the domains of geology and agronomy inspections, actively assisting in bug resolution or answering client questions whenever necessary. • Developed and maintained both backend and frontend with Java Spring Boot, Express JS and Angular. • Worked with large databases in the modeling of new functionality and maintenance + retro compatibility of legacy applications. • Participated in the development of a Flutter application (JoboMed in the Appstore and PlayStore)

• Modeled PostgreSQL databases, ensuring they were efficient, scalable and easy to maintain. • Created a responsive and user-friendly web app in Django. That showcased data extracted with Puppeteer. • Led scrum meetings throughout the project, resolving issues and making sure we remained on schedule.

• Development of web-scraping scripts using Python and Selenium to collect and analyze data from various websites. • Modeled MySQL and PostgreSQL databases, ensuring they were efficient, scalable and easy to maintain. • Created scripts for the automatization of webscraping with Selenium Python, classifying and storing data. Created a responsive and user-friendly web app in Django. • Developed computer vision programs in Java and Python using the OpenCV library to enable the Scorbot robotic arm to perform automated tasks, such as sorting and packing