Martin Holoubek
Deep Learning Engineer at QuantCo
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolMartin Holoubek is a deep learning engineer with 11 years of experience building reliable, explainable ML systems for enterprises, currently focusing on document processing and OCR at QuantCo. He previously ensured mission-critical model quality at Apple across projects like TouchID and FaceID, developing large-scale evaluation frameworks and validation pipelines. Martin blends hands-on model development and deployment (LangChain, TrOCR, BERT variants, AWS/GCP) with cross-functional leadership, mentoring, and technical hiring. His background spans low-level system programming and security consulting, giving him an uncommon combination of ML production expertise and systems-level rigor. Known for automating observability with LLMs and creating internal dataset curation tools, he gravitates toward practical, auditable solutions that balance performance with transparency.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree, Computer and Information Systems Security, Computer Science, Master’s Degree, Computer and Information Systems Security, Computer Science at Czech Technical University in Prague
English, Czech, German
Github Skills (20)
supervised-learning8
xmobar7
predictive7
cross-validation7
iml6
predictive-modeling6
statistics6
modeling5
sklearn5
machine-learning5
lime5
python5
classification5
xai5
artificial-intelligence4
Programming languages (2)
Github contributions (5)
holoubekm/i3status
Jun 2015 - Mar 2018
Contributions:11 pushes, 2 branches in 2 years 10 months
statusi3wmstatus-barxmobari3bar
holoubekm/MI-PAA
Mar 2018 - Mar 2018
Contributions:2 commits, 1 push, 1 branch in 2 days
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