Dávid Majerčák
Machine Learning Engineer at Microsoft
Bellevue, Washington, United States
Summary
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Rockstar🎓
Top SchoolDávid Majerčák is a Machine Learning Engineer with 11 years of experience building production-grade AI and backend systems, currently researching ML at Microsoft in Bellevue. He specializes in computer vision and deep learning, with hands-on experience deploying semantic segmentation models at scale for a major video conferencing platform and optimizing C++/CPU implementations for resource-constrained devices. His background spans full-stack engineering—from Kotlin and Node.js backend services to mobile apps and microservices—bringing a pragmatic focus on well-tested, high-quality code. Dávid combines research instincts with product-oriented engineering, improving both model accuracy and runtime efficiency. He holds strong academic credentials in computer science from Copenhagen and Bratislava and has helped early-stage fintech and enterprise teams ship end-to-end products. Colleagues describe him as hardworking and ambitious but collaborative, seeking projects that push technical boundaries while delivering user impact.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, 12 (A), Master's degree, Computer Science, 12 (A) at Københavns Universitet - University of CopenhagenBachelor's degree, Informatics and Information Technologies, A, Bachelor's degree, Informatics and Information Technologies, A at Faculty of Informatics and Information Technologies, Slovak University of Technology
Slovak, English, German, Polish
Stackoverflow
3reputation
3kreached
0answers
1question
Github Skills (61)
pytorch10
ai-framework10
machine-learning10
onnx10
hardware-acceleration10
deep-learning10
tensorflow10
onnxruntime10
scikit-learn10
compression10
azure10
data-science9
azure-sdk9
azure-machine-learning9
python9
Programming languages (10)
Github contributions (5)
Azure-Samples/azure-ml-federated-learning
Nov 2022 - Jan 2023
Examples and recipes around federated learning in Azure ML.
Contributions:76 reviews, 171 commits, 48 PRs in 2 months
azurefederated-learningmachine-learning
majercakdavid/stock-sentiment-analysis
Jan 2020 - Feb 2020
Contributions:40 commits, 7 PRs, 27 pushes in 1 month
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