Amy Liffey is a PhD candidate and experienced software engineer based in Zurich with 11 years of cross-disciplinary experience spanning embedded Linux IoT, cloud software, energy AI, and computer vision. She has moved between industry and research roles—at Siemens, Fortum, PSI and Alpiq—bridging applied data science and production-grade engineering for energy and geoscience domains. A long-time Gentoo Linux developer, she combines deep systems-level expertise with data mining and smart-building research from master's and exchange programs across Europe. Her background in cybernetics, robotics, and mining of massive datasets gives her a strong foundation for building resilient, data-driven systems that operate at the edge. Colleagues describe her as someone who translates complex scientific problems into pragmatic software solutions while keeping an eye on reproducibility and operational constraints. Currently pursuing doctoral research at HES-SO Valais-Wallis, she continues to blend open-source contributions with applied research in geosciences and IoT.
11 years of coding experience
3 years of employment as a software developer
Exchange student, Exchange student at University of Twente
Master's degree, Smart Buildings, Master's degree, Smart Buildings at Czech Technical University in Prague
Exchange student, Exchange student at KU Leuven
Mining of Massive Datasets, Mining of Massive Datasets at Telecom ParisTech
Contributions:6 pushes, 4 branches in 1 year 10 months
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