Noldus Information Technology
Viktor Kovacs has a diverse work experience in the software development field. Viktor started their career as a Software Developer at Pantomat in 1997 and later worked as a Software Engineer at Omikron Hungary from 2000 to 2002. Viktor then joined Noldus Information Technology in 2002, where they served as a Software Engineer until 2004. Subsequently, they took on the role of a Senior System Engineer and Office Manager at Noldus Information Technology from 2005 to 2013. From 2013 to 2022, Viktor worked as a Project Manager and Office Manager for various projects, including leading the Viso team as a Scrum Master. Most recently, they have taken on the role of a Senior Software Developer Team Lead at Noldus Information Technology from January 2022 onwards.
Viktor Kovacs obtained a Bachelor of Science (BSc) degree in Computer Software Engineering from ELTE from 1992 to 1997. Prior to that, they attended Babits Mihaly Gimnazium, but no degree or field of study information is available for that period.
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Noldus Information Technology
Noldus Information Technology develops, markets, and supports innovative software, instruments, integrated systems, and services for behavioral research. These allow scientists and practitioners to enhance the quality of their data, to increase productivity, and to make optimal use of human or animal resources. Our solutions are designed to meet the needs of our customers, offering them the following key benefits: - Enhanced quality: Our advanced technology allows more accurate measurement of behavior, and therefore a higher quality of collected data. - Increased productivity: Automated systems replace manual work and allow people to do more in less time. - Optimal use of human resources: By letting computers do the tedious routine work, researchers and technicians can focus on more interesting tasks. - Optimal use of animal resources: Our technology allows behavioral measurements to take place under natural and animal-friendly circumstances, while continuous automated observation maximizes the amount of information collected per animal. These advances contribute to the refinement and reduction of laboratory animal testing.