Summary
Paulo Serafim is a PhD candidate in Conversational Explainable AI with 11 years of hands-on experience bridging research and applied ML across academia and industry. He has led and contributed to projects in deep reinforcement learning, computer vision, computational geometry, and sparse neural network pruning while advising students and collaborating internationally. His work spans from autonomous game agents (ViZDoom, PySC2) and neuroevolution to industrial R&D for HP and anomaly detection systems for Dell, with patents and invention disclosures reflecting practical impact. Comfortable both as a developer and researcher—“developer when awake, researcher all the time”—he combines strong C/C++ and Python engineering skills with scientific modeling in SciML/FluxML. Based in L'Aquila, Italy, he brings a rare mix of publication-grade research, mentorship experience, and product-focused engineering to explainable conversational AI.
11 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Federal University of Ceara
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at GSSI - Gran Sasso Science Institute
Portuguese, English, French, Italian