Václav Čadek
Member Of Technical Staff at AISLE™
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolVáclav Čadek is a Machine Learning Engineer and Member of Technical Staff based in Prague with over a decade in ML/AI and 15+ years in the tech industry, blending deep research experience with production delivery. He has led small teams and shipped end-to-end solutions across domains—energy forecasting for 1,000+ household fleets, Bayesian and reinforcement learning systems for decision platforms, and LLM-based cybersecurity applications including RAG and agentic evaluation workflows. Comfortable across the Python scientific stack (PyTorch, TensorFlow, scikit-learn) and Bayesian probabilistic modeling, he bridges cutting-edge research and robust engineering to move models into production. He also brings system-level experience from building APIs and asynchronous services and early-career work in computer vision and large Java-based diagnostic tools. Known for mentoring colleagues and communicating technical ideas to customers, Václav pairs hands-on coding with leadership in fast-paced, safety- and cost-sensitive contexts. An uncommon strength is his track record of applying probabilistic methods and reinforcement learning to real operational problems, not just experiments.
11 years of coding experience
14 years of employment as a software developer
Master, Knowledge Engineering, Master, Knowledge Engineering at Czech Technical University in Prague, Faculty of Information TechnologyBachelor, Computer science, Bachelor, Computer science at Czech Technical University in Prague, Faculty of Electrical Engineering
Czech, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
neural-style-transfer10
exporter9
pmml9
keras8
caffe8
deep-learning6
pytorch6
titanium6
tensorflow5
evaluator5
python3
numpy1
autoencoder1
reinforcement-learning1
jekyll1
Programming languages (2)
Github contributions (5)
vaclavcadek/titanium
Jul 2016 - Oct 2017
Titanium is light-weight evaluator for PMML models based on NumPy.
Contributions:17 commits, 14 pushes, 4 branches in 1 year 2 months
light-weightpythonlightnumpytitanium
vaclavcadek/keras2pmml
May 2016 - Jan 2019
Simple PMML exporter for Keras Deep Learning models.
Contributions:41 commits, 5 PRs, 38 pushes in 2 years 8 months
pytorchexporterneural-style-transferdeep-learningpmml-exporter
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