Summary
Fede Halac is an AI Research Engineer with a decade of experience at the intersection of machine learning, immersive audio, and creative technology, currently advancing language-model features at QuillBot from Berlin. Trained as a composer and PhD candidate in Music Theory and Composition at NYU, he blends deep DSP and algorithmic composition expertise with practical NLP and ML engineering. His trajectory includes postdoctoral research in immersive audio, building intelligent audio plugins and spatialization tools as a freelancer, and applied NLP work at LanguageTool. Comfortable moving between research and production, he ships prototypes that bridge artistic practice and scalable ML systems. Also a programmer-navigator by temperament, he brings interdisciplinary teaching and ensemble leadership to collaborative engineering problems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD) Music Theory and Composition, Doctor of Philosophy (PhD) Music Theory and Composition at New York University
Computer Science, Computer Science at Universidad Nacional de C贸rdoba
Exchange program Computer Music in C++, Exchange program Computer Music in C++ at Universit茅 de Montr茅al