Marco Profilo

Developed an end-to-end AI pipeline to convert electrical schematics into structured circuit representations. Implemented computer vision algorithms for electronic component detection and graph-based topology extraction. Designed JSON-based graph representations and automated SPICE-compatible netlist generation.

Master's Thesis Intern - Data Reply - Turin, Italy

(2026-03 - 2026-08)

• Developed an end-to-end AI pipeline to convert electrical schematics into structured circuit representations.
• Implemented computer vision algorithms for electronic component detection and graph-based topology extraction.
• Designed JSON-based graph representations and automated SPICE-compatible netlist generation.
• Integrated an iterative AI-agent validation workflow that executes SPICE simulations, analyzes simulation feedback and automatically refines generated netlists until a valid circuit representation is obtained.

M.Sc. - Computer Engineering – Artificial Intelligence and Data Analytics - Politecnico di Torino (2023)

B.Sc. - Information Engineering - University of Salento (2019 - 2023)