Giulio Lovisotto
Research Engineer at DeepL
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolGiulio Lovisotto is an AI research engineer with over a decade of experience building production-ready machine learning systems, currently advancing research engineering at DeepL. He holds a PhD in machine learning from the University of Oxford and has moved work from academic research into industrial deployments across Huawei and Bosch AI, covering the full ML lifecycle from data and training to evaluation and production. Known for blending rigorous research methodology with pragmatic engineering, he has repeatedly delivered scalable, robust solutions in high-stakes environments. Based in Munich and originally trained in Padua with top honors, he pairs deep theoretical grounding with hands-on backend experience dating back to early software roles, making him effective at bridging research and product needs.
11 years of coding experience
3 years of employment as a software developer
Master in Computer Science, 110/110 cum laude, Master in Computer Science, 110/110 cum laude at Università degli Studi di PadovaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Oxford
English, German, Italian
Github Skills (28)
python10
evaluation10
data-science10
statistics10
machine-learning10
evaluation-framework10
data-analysis10
smartphone9
pytorch9
large-language-models9
scikit9
language-model9
natural-language-processing9
scikit-learn9
deep-learning9
Programming languages (3)
Github contributions (5)
ssloxford/seeing-red
Apr 2020 - Jul 2021
Using PPG Obtained via Smartphone Cameras for Authentication
Contributions:36 commits, 4 PRs, 15 pushes in 1 year 2 months
ppgauthenticationcamerassmartphone
giuliolovisotto/information-retrieval
Apr 2015 - Jun 2015
Contributions:95 commits, 60 pushes, 1 branch in 2 months
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