Machine Learning Engineer at University Of Seville
London, England, United Kingdom
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Summary
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Senior
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Top School
Madalina Buzau is a Machine Learning Engineer and third-year PhD candidate specializing in fraud and anomaly detection for smart grids, with nine years of experience applying ML to real-world utility data. She has built end-to-end pipelines and deployed production models—from XGBoost ensembles to deep neural networks that ingest raw energy consumption—while collaborating directly with Spain’s largest utility to validate solutions in operational environments. Previously she led data science teams at the Financial Conduct Authority, translating noisy regulatory and supervisory data into tools that surface emerging harms. Her background in power systems engineering and wind data analysis gives her a rare dual fluency in electrical domains and applied ML, enabling pragmatic solutions that respect grid constraints. She continually expands her toolkit through targeted courses and hands-on research, favoring approaches that balance handcrafted features with representation learning. Notably, her work emphasizes production readiness and domain integration rather than purely theoretical gains.
9 years of coding experience
6 years of employment as a software developer
University of Seville
Master's Degree, Electrical Engineering and Sustainable Development, 16.4/20, Master's Degree, Electrical Engineering and Sustainable Development, 16.4/20 at University of Lille 1 Sciences and Technology
Machine Learning Engineer Nanodegree, Data Science, Machine Learning Engineer Nanodegree, Data Science at Udacity
Bachelor's degree, Power Systems Engineering, 9.8/10, Bachelor's degree, Power Systems Engineering, 9.8/10 at Universitatea „Politehnica” din București
Contributions:49 commits, 52 pushes, 1 branch in 6 months
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Madalina Buzau - Machine Learning Engineer at University Of Seville