Researched, architected, and deployed end-to-end data pipelines, system architectures, and neural network workflows to optimize Madeira's Island energy storage and management.
Ingested time-series data from multiple servers using SFTP and a weather API (IPMA) using Python to create a system for day-ahead predictions to optimize workers' inputs, now used by EEM.
Built an interactive MVP dashboard with React and Grafana, enabling real-time project analytics and data visualization.
Led and mentored two teams (6 interns) on HeatPowerOpt (MVP and algorithm to optimize energy grids) for Capwatt, and FleetChargeXpert (MVP and algorithm to optimize electric cars' charging planning based on each employee's expected route) for Renewing under the ATE alliance; Both companies are actively using both projects, and these are unique solutions to industry problems.
Consistently recognized for independent project execution and team leadership.