David Kubeša
Data Scientist
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolDavid Kubeša is a data scientist with 11 years of experience who builds production-grade LLM agents and applied ML systems, currently designing a custom Retrieval-Augmented Generation framework in AWS for ČSOB and integrating Azure models for targeted use cases. His doctoral work at Charles University focused on multilingual named entity recognition and linking at scale, using Spark and large knowledge bases, which informs his practical approach to information retrieval and conversational AI. Previously at O2 he applied classical and deep learning methods to customer lifecycle problems on big-data platforms, blending business impact with technical rigor. David bridges academic research and enterprise deployment, notable for advancing the Kate chatbot via Rasa Calm and for bringing research-grade entity linking techniques into real-world NLP pipelines.
12 years of coding experience
7 years of employment as a software developer
Master’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at Faculty of Electrical Engineering, Czech Technical University in Prague
English, Czech, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (80)
msr9
application9
xiaomi9
openrc9
vacuum9
visual-studio-code9
power-management9
s69
electron9
typescript9
fine-tuning8
editor8
intel8
vector-database8
operation8
Programming languages (10)
Github contributions (5)
schaemar/AgentDrive
Aug 2014 - Jul 2016
Contributions:144 commits, 8 pushes, 2 issues in 1 year 10 months
Kobtul/diploma-profiling-experiments
Jan 2018 - Dec 2018
Contributions:2 PRs, 7 pushes, 1 branch in 11 months
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