
Chief AI Officer, Partner @ Synerise
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Leading a team of 30+ research scientists & engineers. Research focus: Unsupervised deep behavioral models. Heterogeneous, multi-modal, multi-view data. Network embeddings. Multidimensional density estimation. Representation learning. NLP. Winner @ ACM RecSys Twitter Challenge 2021, 2nd place Winner @ ACM KDD Cup OGB-LSC 2021, 3rd place Winner @ ACM WSDM Booking.com Data Challenge 2021, 2nd place Winner @ SIGIR eCom Rakuten Data Challenge 2020, 1st place
University of Warsaw
Natural Sciences
January 1, 2009 – January 1, 2012
University of Warsaw
Mathematics and Computer Science
January 1, 2005 – January 1, 2011
XIV L.O. im. Stanisława Staszica w Warszawie
Mathematics & Physics - experimental class
January 1, 2002 – January 1, 2005
Synerise
BaseModel.ai | Co-Founder
February 1, 2023 – Present
Synerise
Chief Artificial Intelligence Officer, Board Member
January 1, 2018 – Present
So1 GmbH
Director of Technology & Machine Learning
January 1, 2016 – October 1, 2017
Berlin Metropolitan Area
So1 GmbH
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October 1, 2015 – January 1, 2016
Berlin Metropolitan Area
So1 Poland
Managing Director
July 1, 2015 – October 1, 2017
Warsaw, Mazowieckie, Poland
So1 GmbH
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Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards innovation, research, and leadership in AI/ML. Their involvement in founding BaseModel.AI and leading research at Synerise aligns well with a culture that values cutting-edge technology and strategic impact. The diverse roles from senior engineer to C-level executive indicate adaptability and a broad understanding of business and technical challenges. However, the lack of specific project details outside of high-level descriptions makes it difficult to fully assess collaboration style and hands-on contribution in recent years.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, entrepreneurship, business strategy, and problem-solving skills through their career progression. Their experience in leading large research and engineering teams suggests excellent operational fit for managing complex ML initiatives. The co-founder role indicates a high degree of autonomy and strategic thinking.