Summary
Tanguy Albrici is a software engineer based in Neuchâtel, Switzerland, with nine years of experience at the intersection of software, machine learning, and data science. He currently builds production software at Swiss Post and has hands-on research experience from ETH Zürich, where he ran extensive ML experiments to shape a cost- and time-efficient data processing service. Earlier roles include developing OCR pipelines for identity documents and supporting coursework at EPFL, reflecting a blend of applied ML, systems thinking, and teaching. He holds a strong academic background in Communication Systems from EPFL with high marks, and brings a pragmatic focus on optimizing ML workflows for real-world constraints. Notably, his work balances experimental research rigor with production-oriented engineering.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Communication Systems, 5.24 out of 6, Master's degree, Communication Systems, 5.24 out of 6 at EPFL (École polytechnique fédérale de Lausanne)
French, English, German