Augusto Hentz is a software engineer with eight years of industry experience and a strong academic foundation—a M.Sc. in Electrical Engineering from UFSC with a thesis on using speech coding to shrink memory footprints of concatenative speech synthesis. He blends applied research in digital and speech signal processing with production-grade software development in C, C++ and Python, having built speech recognition, speaker ID, voice authentication and TTS prototypes at UFSC and shipped large-scale systems at HERE and Google. Comfortable across research and engineering, he has experience administering compute clusters and scaling model training pipelines, a skillset rooted in early work automating cluster jobs for acoustic model training. Based in Zurich, he brings a rare combination of deep DSP expertise and practical software craftsmanship, often focusing on efficient, resource-constrained solutions.
8 years of coding experience
15 years of employment as a software developer
M.Sc., Electric Engineering, 4/4, M.Sc., Electric Engineering, 4/4 at Universidade Federal de Santa Catarina
Technician, Electronics, Technician, Electronics at CEFET/SC
An Open Source Machine Learning Framework for Everyone
Contributions:6 commits, 5 PRs, 5 pushes in 3 months
pythondata-sciencedeep-learningmlmachine-learning
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