Summary
Marcelo Sancinetti is a research engineer with eight years of experience blending AI research and software engineering, currently focused on turn-taking for spoken dialog systems at ASAPP. He brings deep expertise in audio, speech, and NLP—having worked on pronunciation assessment, ASR, and inverse text normalization—and is now expanding into multimodal LLMs. A programmer at heart with an academic foundation from Universidad de Buenos Aires, he has taught algorithms and computer organization while interning in applied AI research, showing a knack for translating theory into production-ready solutions. Outside work he composes music and practices kickboxing and weightlifting, which he credits for disciplined creativity and stamina in long research cycles.
8 years of coding experience
Licenciatura, Computational Science, Licenciatura, Computational Science at Universidad de Buenos Aires
English, German, Spanish