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Deep Learning and AI. Papers in top journals. Math and coding olympiads.
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Assessing your cultural and operational fit
Educated mathematician (theoretical computer science at Vrije Universiteit Amsterdam, Charles University, IST Austria), now AI researcher and developer (at Avastu formerly, at Rossumu presently).
Charles University
Doctor of Philosophy (PhD), Computer Science
January 1, 2008 – January 1, 2013
Charles University
Doctor of Philosophy - PhD
January 1, 2008 – January 1, 2012
Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Science (MSc), Mathematics
January 1, 2007 – January 1, 2008
Charles University
BSc, Mathematics
January 1, 2003 – January 1, 2007
Vrije Universiteit Amsterdam (VU Amsterdam)
Master's degree, Mathematics
N/A – Present
Rossum
Deep Learning at Rossum
June 1, 2018 – Present
Prague, Czechia · Hybrid
Avast Software
Deep Learning
March 1, 2017 – Present
Prague, Czechia
IST Austria
Postdoc
January 1, 2013 – November 1, 2016
Department of Applied Mathematics and Institute for Theoretical Computer Science, Charles University
Doctoral Student and Young Researcher
September 1, 2008 – October 1, 2013
Prague
Nostromo
Java and C++ Developer
February 1, 2005 – July 1, 2005
Prague, Czechia
Dynatech
ASP Developer
September 1, 2000 – June 1, 2001
Brno, South Moravia, Czechia
Transformers for Document AI
February 1, 2023 – June 1, 2023
I have been co-leading a research project laying basis to the Rossum's Aurora Document AI. My main contribution was data-centric: dataset as well as benchmarks curation.
Improving Convolutional Network for Document AI
July 1, 2022 – September 1, 2022
I have lead a project on neural architecture and optimization search leading to significant jump in accuracy across a diverse company benchmark (around 30% error reduction when measured against an oracle model).
A python prototype for solving nonlinear equations with uncertainty
November 1, 2015 – February 1, 2016
First quick prototype to get experiments running.
Abalone desk game for J2ME
January 1, 2004 – January 1, 2004
Including the computer player (search in the tree of states with optimization such as branch cutting).
Dictionary for mobile phones (J2ME)
January 1, 2003 – January 1, 2008
Highschool graduation project. (Various extensions and improvements during the following years) Fast navigation through ~30MB files using T9 search (and T9-like trie data structure) even with weak processing power of the oldest Java phones.
Implementation of the Rabin-Miller primality test
January 1, 2002 – March 1, 2002
Used for RSA key generation in software of AEC company.
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a blend of academic research and industry application, which can be beneficial for a role requiring innovation and practical implementation. The diversity of projects, from early mobile development to advanced AI research, suggests adaptability. However, the project descriptions are brief and lack specific team collaboration details, making a deep cultural fit assessment challenging. The focus on individual contributions in project descriptions might indicate a preference for independent work, but this needs further validation.
Soft Skills & Operational Fit
The candidate's project descriptions, while concise, indicate a problem-solving mindset and a history of leading technical initiatives. The academic background suggests strong analytical and research capabilities. However, without specific psychometric test results or interview data, it is difficult to fully assess soft skills like teamwork, communication style, or stress handling. The operational fit appears strong given the direct alignment of experience with the target role.