Petr Marek
Chief Of AI Research at eClub Prague
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolPetr Marek is a seasoned AI researcher and delivery leader with 11 years of experience building conversational and generative AI systems, currently heading Delivery and leading AI Research at PromethistAI in Prague. He combines deep academic expertise—a PhD in Conversational AI—with hands-on engineering from roles at Amazon Lab126, Concerto AI, and the award-winning Alquist Alexa Prize team that reached the podium five times. Petr specialises in turning relational intelligence and multimodal agents from research into production products that change how enterprises engage customers. He contributes to open-source QA tooling (notably backend work on the YodaQA project) and mentors students through eClub Prague, reflecting a commitment to knowledge transfer. Outside of research he volunteers as a Scout Leader, underscoring his practical leadership and people-centered approach to technology.
11 years of coding experience
5 years of employment as a software developer
PhD, Conversational AI, PhD, Conversational AI at Faculty of Electrical Engineering, Czech Technical University in PragueHigh School, General Studies, Graduation with honors, High School, General Studies, Graduation with honors at Gymnázium Žatec
Czech, English, Russian, German
Github Skills (5)
javas10
java10
web-development9
api-design8
nlp7
Programming languages (3)
Github contributions (5)
brmson/yodaqa
Jul 2015 - Feb 2018
A Question Answering system built on top of the Apache UIMA framework.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 commits, 3 PRs, 19 pushes in 2 years 7 months
Contributions summary:Petr primarily contributed to the back-end logic of the YodaQA system. Their work included adding functionality to handle and process artificial concepts, enabling the system to incorporate external knowledge. The commits also involved modifying the web interface to accept and process artificial concepts and introducing a mechanism for retrieving multiple concepts. Furthermore, the user implemented features to include clues into the question and generate concepts from clues.
questionsquadapacheon-topquestion-answering
AlquistManager/alquist
Aug 2016 - Sep 2020
Alquist is dialog manager allowing you to create intelligent bots for various purposes.
Contributions:157 commits, 12 PRs, 122 pushes in 4 years 1 month
dialogbotconversationdialogue-systemsbots
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