Nestor Cabello
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 (24)
anomaly-detection9
forecast8
forecasting8
time-series8
machine-learning8
data-mining8
data-science8
pytorch7
ai7
scikit-learn7
python7
sktime6
deep-learning6
tensorflow6
jax5
Programming languages (2)
Github contributions (5)
stevcabello/stevcabello.github.io
Sep 2023 - Sep 2025
Contributions:117 pushes, 1 branch in 2 years
stevcabello/STSF
Sep 2020 - Dec 2020
Contributions:38 commits, 4 pushes in 3 months
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