Nestor Cabello
AI Research Fellow at University of Melbourne
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolNestor Cabello is an AI research fellow and software engineer with a PhD in Computer Science from the University of Melbourne and over a decade of cross-disciplinary experience spanning time-series ML, mobile apps, and cloud-backed web systems. He combines academic rigor—publishing in top venues and leading noise-reduction and wearable sensor pipelines for dementia agitation prediction—with hands-on product delivery, having built Android/iOS data-collection apps, mapping portals, and optimized database-backed RIN systems. Comfortable with Python, PyTorch, Scikit-Learn, Java and C#, he bridges research and engineering by productionising models (DeepFilterNet integration) and managing AWS infrastructure. He also teaches and mentors across universities, translating complex algorithmic ideas into clear lectures and student projects. An uncommon strength is his end-to-end fluency: from FPGA-based signal work early in his career to modern ML pipelines for health tech, enabling pragmatic solutions to sensitive real-world problems.
10 years of coding experience
7 years of employment as a software developer
The University of MelbourneEngineer’s Degree, Telecommunications Engineering, Engineer’s Degree, Telecommunications Engineering at Escuela Superior Politécnica del Litoral
Spanish, English, French
Github Skills (30)
anomaly-detection9
data-mining9
forecasting9
python8
scikit-learn8
time-series8
machine-learning8
pytorch8
data-science8
tensorflow7
ai7
deep-learning7
sktime6
neural-network5
jax4
Programming languages (2)
Github contributions (5)
stevcabello/STSF
Sep 2020 - Dec 2020
Contributions:38 commits, 4 pushes in 3 months
stevcabello/Instagram_app
Nov 2015 - Jan 2018
Contributions:7 pushes, 1 branch in 2 years 2 months
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