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Machine Learning and Artificial Intelligence Engineer
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Assessing your cultural and operational fit
Juraj is a machine learning and artificial intelligence (AI) engineer with +7 years of experience in analysis, research (with PhD.), development and building AI on top of big data (a.k.a. Data Science).
Faculty of Informatics and Information Technologies, Slovak University of Technology
Doctor of Philosophy, Computer Sciences / Applied Informatics
January 1, 2010 – January 1, 2014
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology
Master of Science / Engineer, Computer Science / Applied Informatics
January 1, 2008 – January 1, 2010
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology
Bachelor of Science, Computer Science / Applied Informatics
January 1, 2006 – January 1, 2008
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology
Computer Science / Industrial Informatics
January 1, 2004 – January 1, 2006
Secondary Technical School, Karola Adlera 5, Bratislava
Electrician, Electronic Computer Systems
January 1, 2002 – January 1, 2004
Freelance
Machine Learning and Artificial Intelligence Engineer
June 1, 2017 – Present
Dunajská Streda
Institute of Informatics, Slovak Academy of Sciences
Researcher
July 1, 2014 – July 1, 2016
Institute of Informatics, Slovak Academy of Sciences
Scientific Developer
January 1, 2013 – June 1, 2014
Faculty of Informatics and Information Technologies, Slovak University of Technology
Teacher
September 1, 2011 – June 1, 2015
Bratislava
Slovak University of Technology in Bratislava
Technician
November 1, 2009 – December 1, 2009
Ilkovičova 3, 81219 Bratislava 1, Slovakia
Real-Net, s.r.o.
Computer Network Technician
June 1, 2003 – March 1, 2004
Bratislavská 4, 92901 Dunajská Streda (Slovakia)
Global ATM security management (GAMMA)
January 1, 2014 – January 1, 2016
ID: FP7-SEC-2012-1 GAMMA is a project worth around fifteen million Euros which received co-funding from the European Union’s Seventh research and innovation Framework Programme (FP7) programme under grant agreement No 312382. The project stems from the growing need to address new air traffic management threats and vulnerabilities due, for instance, to the increased reliance on distributed enterprise computing and the automated flow of information across a ground and airborne network. The goal of the GAMMA project is to develop solutions to emerging air traffic management vulnerabilities backed up by practical proposals for the implementation of these solutions. The project will also consider the new scenarios created by the Single European Sky programme.
Automatic meeting speech recognition with application to courtroom recordings transcription
January 1, 2013 – Present
ID: VEGA 2/0202/11
Electronic services of General prosecution of the SR
January 1, 2013 – January 1, 2015
ID: Structural European funds 21110120022
Extension of theory of multi-agent systems by collective memory
January 1, 2013 – January 1, 2015
ID: VEGA 1/0458/13
Ardaco Inc., RP-KOM Technology research for the management of business processes in heterogeneous distributed systems in real time with the support of multimodal communication
January 1, 2013 – January 1, 2014
ID: ITMS 26240220060 The project is realised in cooperation with Institute of Informatics, Slovak academy of sciences. Activities of the project deal with the research of obstacles in the implementation of progressive distributed systems for the business processes management in mobile environment and with proposals to overcome them. The advanced possibilities of new mobile devices and communication technologies will be utilized to automate the processes. The automated decision making systems will help to reduce the need for user interaction and thus increase the effectiveness of process management where the human factor is the most common bottleneck. After the realisation of project activities there will be new possibilities for the development of specific applications in subsequent projects with the aim of deployment at customers. The appropriate illustrative example of use is logistics area – coordination of goods traffic through the functions of mobile communication. The project outputs will create potential for the development of advanced technologies in the area of transport coordination and so they will have positive impact on effectiveness and decrease of goods traffic harmful effects into air and environment as well. As the part of project the research and education centre for technology research in the area of management of business processes in heterogeneous distributed systems in real time with the support of multimodal communication will be created. It will be established as strategic partnership between academic and business sector with the aim to raise potential for the transfer of outputs into use.
New methods of reinforcement learning for cooperative multiagent systems
January 1, 2012 – January 1, 2014
ID: VEGA 1/0553/12
Study of emergence of strategies implemented by neural networks
January 1, 2010 – January 1, 2011
ID: VEGA 1/0141/10
Cisco Certified Network Professional (CCNP)
Cisco
June 24, 2026 – Present
Cisco Certified Network Associate (CCNA)
Cisco
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant experience in multi-agent systems, speech recognition, and machine learning. While these skills are highly relevant to a Data Analyst role, the project descriptions lack specific business impact or direct application in a typical corporate data analysis environment. The projects are diverse in their research focus, indicating adaptability, but the absence of explicit team-based project descriptions outside of academic research makes it difficult to fully assess cultural fit for a collaborative industry role. The target role 'Data Analyst' might be a slight mismatch for a candidate with such a strong research and ML Engineering background, suggesting a potential overqualification or a need for roles with a stronger emphasis on advanced analytics and model deployment.
Soft Skills & Operational Fit
The candidate's experience as a teacher and researcher suggests strong analytical, problem-solving, and communication skills. The freelance work indicates self-motivation and project management capabilities. However, the provided data does not offer direct insights into stress handling, team collaboration, or work attitude, as psychometric test results are not available.