Summary
Tito Spadini is a PhD candidate and scientific researcher in Information Engineering based in São Paulo with eight years of experience focused on audio, speech and music signal processing, machine learning and data science. He combines academic research at UFABC with applied R&D in industry—building voicebots, TTS systems and DSP pipelines—and has practical experience with Python, MATLAB, C++ and CUDA. His work spans from prototyping IoT audio security systems to implementing state-of-the-art neural TTS models (Tacotron, WaveNet family), showing strength in both low-level signal treatment and deep learning. A long-time student mentor and volunteer organizer, he brings teaching and leadership to research teams and student projects. Notably, his background includes hands-on DSP engineering for noisy real-world audio and production-orientation in voice AI solutions, bridging theoretical research with deployable systems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - Ph. D., Information Engineering, Doctor of Philosophy - Ph. D., Information Engineering at Universidade Federal do ABC
Portuguese, English, Spanish, German