At Itecons, I build AI-powered internal tools that automate technical workflows, data analysis, visualization, and reporting. I also design building electrical installations and test equipment performance against technical specifications, safety standards, and energy-efficiency regulations.
My Electrical and Computer Engineering master's thesis developed KPIs and XGBoost forecasting models for Streamline's Miago multi-metering platform, enabling real-time electricity, gas, and water monitoring across multiple facilities. I combine power and energy systems knowledge with Python, data tools, and applied AI, and have mentored students building and programming autonomous robots.
