Leonardo Nunes
Researcher at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLeonardo Nunes is a researcher and signal-processing specialist with a decade of experience applying machine learning to audio and acoustic sensing problems, currently at Microsoft. He holds a D.Sc. in Electrical Engineering from UFRJ and has co-authored 20+ refereed papers and more than a dozen patent disclosures from industry work. His expertise spans acoustic signal processing, microphone arrays, sound source and sensor localization, and classical and modern ML techniques implemented in C/C++/Python/Matlab. Previously he led R&D in distributed acoustic sensing for Halliburton and taught programming and languages at the university level, reflecting a blend of applied innovation and pedagogy. Based in Redmond, he brings both deep research rigor and practical experience turning advanced signal-processing ideas into deployable solutions.
10 years of coding experience
2 years of employment as a software developer
Doctor of Science (D.Sc.), Electrical Engineering, 4.0, Doctor of Science (D.Sc.), Electrical Engineering, 4.0 at Universidade Federal do Rio de Janeiro
Portuguese, English
Github Skills (21)
prediction-model10
python10
machine-learning10
cntk10
weather10
java10
stac10
agriculture10
deep-learning10
computer-vision10
sustainability9
microsoft9
pytorch9
soil9
geospatial9
Programming languages (2)
Github contributions (4)
microsoft/farmvibes-ai
Sep 2022 - Sep 2022
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Contributions:12 reviews, 1 commit, 3 PRs in 1 day
multi-modalgeospatialml-modelsmodalnoaa
microsoft/CNTK
Jul 2017 - May 2018
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Contributions:6 commits, 2 pushes, 3 branches in 10 months
pytorchpythondeep-learningc-plus-plusmachine-learning
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