I’m an AI/ML engineer based in Milan, with experience across business software, agent systems, and machine learning. At Mecanografica, I adapted a React, TypeScript, and Supabase CRM and proposal platform to the company’s commercial workflows.
In independent projects, I built an agent platform connecting language models with tools, retrieval, and CRM operations, with evaluation, approval workflows, and recovery safeguards. I also developed a multi-agent maintenance system that reduced case volume by 77% in simulation by consolidating duplicates. For a Politecnico di Milano project, I trained and deployed a quantized medical-image registration model on FPGA hardware, cutting inference and image-warping time by 66% versus a CPU baseline while maintaining alignment quality.
I hold a BSc in Computer Science Engineering from Universidad San Francisco de Quito and am pursuing an MSc in Computer Science and Engineering (AI track) at Politecnico di Milano. I’ve completed the coursework and am currently working on my thesis. I’m interested in applied AI and ML systems that improve real workflows. Outside work, I enjoy start-ups and economics, interface design, game development, science fiction, cinema, and Formula 1. I’m fluent in English and Spanish.
