Evelina Gudauskayte
Engineering Lead at Remedy Logic
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolEvelina Gudauskayte is an Engineering Lead and machine learning specialist with 8 years of experience designing and delivering ML-driven medical software, from DICOM-based imaging pipelines to voice recognition and VR integrations. Based in Berlin, she combines hands-on Python development and computer vision expertise with systems architecture skills—having led cloud migrations, built observability practices, and recruited high-performing teams at Remedy Logic. Her background spans R&D and clinical environments, where she has optimized models for small medical datasets and ensured interoperability with PACS/RIS systems. Currently pursuing a Data Science master’s at Freie Universität Berlin, she brings a research-minded approach informed by an ITMO information systems degree and practical work shipping production-grade healthcare integrations. A detail that sets her apart: she’s comfortable bridging low-level data engineering (DICOM/data prep) with strategic architectural decisions that reduce cost and improve reliability.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Freie Universität BerlinBachelor's degree, Information Systems, Bachelor's degree, Information Systems at Университет ИТМО
Github Skills (22)
java9
python8
science8
dml8
lifecycle8
packaging7
machine-learning7
pep7
big-data5
data-science5
package-manager4
ml3
datasets2
dependency-manager2
medical2
Programming languages (4)
Github contributions (5)
coffecom/TODO_list
Sep 2018 - Dec 2018
Contributions:37 commits, 32 pushes, 3 branches in 3 months
rb-devs/rb
Mar 2019 - Mar 2019
Contributions:18 commits, 16 pushes in 21 days
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