Telmo Felgueira
Machine Learning Engineering Manager at Lisbon Data Science Academy
Lisbon, Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolTelmo Felgueira is a Machine Learning Engineering Manager with 8 years of experience combining electrical engineering and power systems expertise with practical ML to accelerate renewable energy solutions. Based in Lisbon, he has led teams at Jungle and Loka to deploy data-driven models that optimize wind turbine performance and fault detection using techniques from LightGBM to multivariate anomaly detection. He teaches time series at Lisbon Data Science Academy, translating academic concepts—seasonality, stationarity, causal feature selection—into hands-on curricula and hackathons. Telmo’s career blends field knowledge from power systems with production ML rigor, evidenced by thesis work on SCADA-based normal behaviour models and applied research on matrix profile, HDBSCAN and SHAP for time series. Comfortable at the intersection of research and shipping, he focuses on making ML work in the real world rather than as an academic exercise. Colleagues describe him as a pragmatic leader who surface-tests ideas quickly and mentors teams to turn domain knowledge into reliable, scalable models.
8 years of coding experience
5 years of employment as a software developer
Athens Course Computed Aided Analysis of Power System Stability, Athens Course Computed Aided Analysis of Power System Stability at Delft University of TechnologyMaster’s Degree Electrical and Computer Engineering, Master’s Degree Electrical and Computer Engineering at Instituto Superior Técnico
Portuguese, English, Spanish
Stackoverflow
1reputation
0reached
0answers
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Github Skills (50)
application10
javascript9
llm9
open-source9
fine-tuning9
gpt8
data-structures8
gmm8
bayesian-deep-learning8
calibration8
vector-database8
pydata7
dask7
predictive7
scikit-learn7
Programming languages (6)
Github contributions (5)
TSFelg/fairly
Apr 2021 - Oct 2022
Fairly is a tool to help tech workers residing in Portugal know if they're being paid fairly.
Contributions:64 commits, 2 PRs, 51 pushes in 1 year 7 months
workerspaid
TSFelg/45gtranscripts
Apr 2023 - Mar 2025
Contributions:5 PRs, 41 pushes, 1 branch in 1 year 10 months
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