Fede聽Halac
AI Research Engineer II at QuillBot
Berlin, Germany
Summary
馃懁
Senior馃帗
Top SchoolFede 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 UniversityComputer Science, Computer Science at Universidad Nacional de C贸rdobaExchange program Computer Music in C++, Exchange program Computer Music in C++ at Universit茅 de Montr茅al
Stackoverflow
63reputation
15kreached
0answers
1question
Github Skills (50)
puredata10
computer-music10
git-repository9
audio8
pattern8
networked7
sourceforge7
heroku7
scripting-language7
wrangler6
joystick6
ip6
python6
graphic6
nextjs6
Programming languages (13)
Github contributions (5)
fdch/kwgan
Apr 2020 - Apr 2022
A GAN architecture to generate raw audio
Contributions:164 commits, 14 PRs, 157 pushes in 2 years
audio
fdch/untitled
Jan 2018 - Mar 2026
Contributions:18 pushes, 3 branches in 8 years 3 months
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