• Presented customized proposals and live demonstrations of Microsoft business solutions for large clients like Agrosuper and Cencosud.• Collaborated with technical and sales teams to ensure alignment of solutions during the implementation process.

• Developed and optimized statistical models in Python, using libraries such as NumPy and Pandas to predict network performance based on data from monitoring probes.• Built and optimized the back end using Golang and developed the front end with Next.js, improving system performance and user experience.

• Led the development of an advanced player movement analysis software combining computer vision in C++ and user interaction through a React and Node.js frontend.• Managed a microservices architecture deployed in Docker containers on AWS, including PostgreSQL and S3 for data handling.• Implemented CI/CD pipelines using GitHub Actions, Docker Registry, and AWS, incorporating DevOpspractices.

• Co-founded a software development business, leveraging both technical skills and client-facing expertise to deliver custom software solutions.• Developed an inventory management system for a private company. Utilized C++, QtCreator, and PostgreSQL, integrating GCP Cloud Functions.• Engineered a tide monitoring application for a maritime engineering company, facilitating safe ship navigation. Developed with the MERN stack, providing graphical tide presentations and user management across multiple ports, hosted on GCP.• Designed a project involving a Modbus pressure sensor to measure wave heights using hydrostatic pressure detection, processed by an ESP32, and transmitted via 4G and MQTT protocol for maritime safety.

• Developed an innovative solution for classifying wildlife images captured by remote trap cameras in Patagonia, utilizing a Raspberry Pi with TensorFlow in Python for edge computing. Classification results were transmitted using LoRaWAN protocol.• Later assigned to support the development of a comprehensive bee apiary monitoring system, integrating sensors for weight, humidity, temperature, vibration, etc., alongside an environmental sensing weather station.• Implemented data collection and transmission using two ESP32 microcontrollers: one for the weather station to gather and send hive data, and another for the hive sensors, utilizing CPP and Modbus for sensor-microcontroller communication, with 4G for data transmission to a PostgreSQL database platform.

Waiter at the renowned restaurant 'Delirio' in Reñaca.

• Implemented a Property Management System (PMS) and optimized the hotel’s internetnetwork, enhancing operational efficiency and guest satisfaction.• Developed the hotel’s website and executed targeted digital marketing campaigns usingGoogle and Facebook Ads, significantly increasing online visibility and event attendance.