Eva Hasler
Senior Applied Scientist at Amazon
Aachen, North Rhine-Westphalia, Germany
Summary
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Rockstar🎓
Top SchoolEva Hasler is a Senior Applied Scientist with 14 years of experience specializing in machine translation and applied NLP, currently driving research-to-production ML at Amazon from Aachen, Germany. Her career bridges deep academic work—a PhD in Informatics from the University of Edinburgh and postdoctoral research on target language fluency—with industrial R&D roles developing core neural MT systems at SDL and Amazon. She has hands-on expertise in optimization, feature integration and multi-threaded C++ implementations for widely used SMT infrastructure such as the Moses decoder, reflecting a rare combination of research rigour and production-grade engineering. Eva repeatedly moves models from prototype to scalable deployment, focusing on improving translation quality and system performance across industry and academic projects. Colleagues rely on her for solving hard optimization and adaptation problems informed by her background in topic-model-driven dynamic adaptation. She brings a pragmatic, research-led approach to large-scale language technology challenges, with a track record of contributing to foundational open-source MT tools.
14 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Informatics, Doctor of Philosophy (Ph.D.) Informatics at The University of EdinburghMagister Artium Computational Linguistics Informatics Phonetics, Magister Artium Computational Linguistics Informatics Phonetics at University of Cologne
German, English, French, Italian
Github Skills (9)
machine-translation10
c-language10
cprogramming-language10
optimization9
multithreading9
computer-engineering9
optimisation9
parameter-tuning9
algorithms7
Programming languages (2)
Github contributions (5)
moses-smt/mosesdecoder
Aug 2011 - Oct 2013
Moses, the machine translation system
Role in this project:
Back-end Developer
Back-end DeveloperContributions:221 commits in 2 years 1 month
Contributions summary:Eva contributed to the Mira machine translation system, specifically focusing on the implementation and modification of core components related to optimization and feature integration. Their work included code changes in C++ files within the "mira" directory. Furthermore, they made changes related to the configuration and parameters used in training and testing the translation model. Additionally, there were changes made to enhance the multi-threading capabilities of the system for sentence-level translations.
i18nmachine-translationtranslationlocalizationmoses
ehasler/tensorflow
Jul 2016 - Oct 2018
Contributions:57 commits, 9 pushes in 2 years 2 months
computationscalabledata-sciencemachine-learninggraphs
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