Jan Pichl
Chief Technology Officer at PromethistAI
Hradec Králové, Czechia
Summary
👤
Senior🎓
Top SchoolJan Pichl is a technology leader and CIO with 11 years of engineering experience and over 8 years focused on artificial intelligence, currently steering PromethistAI's technical strategy after serving as CTO and NLP Research Lead. He combines deep academic training (PhD work in AI) with hands-on systems expertise in Java, C++, and the Elastic Stack to deliver production-grade NLP and conversational AI. His career includes leading the Alquist Alexa Prize team and contributing to the YodaQA question-answering system, where he improved model tooling and visualization for better diagnostics. Jan is practiced at bridging research and product, empowering teams to turn novel NLP models into user-focused solutions that align with business goals. Based in Hradec Králové, Czechia, he blends mentorship experience from eClub Prague with enterprise operational know-how from IBM, making him equally comfortable in startups and large organizations. An understated strength is his focus on tooling and observability—ensuring complex AI systems are understandable and maintainable in production.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Faculty of Electrical Engineering, Czech Technical University in PragueBachelor's degree, Software Engeneering, Bachelor's degree, Software Engeneering at Faculty of Information Technology CTU in PragueGymnázium Boženy Němcové Hradec Králové
Czech, English, German
Stackoverflow
11reputation
404reached
0answers
1question
Github Skills (13)
scikit-learn10
json10
decision-tree10
machine-learning10
python10
machine-learning-models10
gradient-boosting10
scikit10
data-science9
nlp8
natural-language-processing8
java6
websphere6
Programming languages (5)
Github contributions (5)
brmson/yodaqa
Jul 2015 - Aug 2018
A Question Answering system built on top of the Apache UIMA framework.
Role in this project:
ML Engineer
ML EngineerContributions:283 commits, 1 PR, 149 pushes in 3 years 1 month
Contributions summary:Jan's commits primarily focused on enhancing a question-answering system built on the Apache UIMA framework. They implemented model exporting to standard output for the decision forest model. Further modifications involved fixing model sizes, repairing model readers to accommodate comments in JSON, and disabling or modifying the training script, indicating active involvement in improving machine learning model aspects of the system. They contributed to the creation and application of a visualization script for decision trees, enhancing model understanding and diagnostics.
questionsquadapacheon-topquestion-answering
brmson/question-classification
Jul 2015 - Mar 2017
Contributions:13 commits, 8 pushes, 1 branch in 1 year 7 months
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