Gyorgy Orosz
ML EngineerAI/NLP Expert
European Commission
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/NLP Expert
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pázmány Péter Katolikus Egyetem
PhD, Computer Science
January 1, 2010 – January 1, 2015
University of Kent
Computer science
January 1, 2008 – January 1, 2008
Eötvös Loránd University
MSc, Computer science
January 1, 2004 – January 1, 2010
European Commission
AI Engineer
May 1, 2024 – Present
Brussels, Brussels Region, Belgium · Remote
Endeavor Labs
Project Lead
January 1, 2024 – May 1, 2024
Remote
University of Szeged
Research Team Lead
July 1, 2021 – May 1, 2023
Szeged, Csongrád, Hungary · Remote
Affinitext
Staff NLP Engineer
December 1, 2019 – January 1, 2024
Remote
LogMeIn
Senior Machine Learning Engineer
February 1, 2017 – November 1, 2019
Budapest · On-site
Self Employed
NLP Consultant
January 1, 2017 – Present
Budapest, Hungary · Remote
Meltwater
Senior Research Scientist in Natural Language Processing
December 1, 2014 – January 1, 2017
Budapest · On-site
MTA-PPKE Language Technology Research Group
Research Assistant
January 1, 2012 – November 1, 2014
Budapest · On-site
Pázmány Péter Katolikus Egyetem
Assistant Lecturer
September 1, 2010 – June 1, 2016
Budapest
University of Kent
Software Developer
September 1, 2008 – November 1, 2010
Canterbury, England, United Kingdom · Hybrid
Awesome Hungarian NLP Resources
April 1, 2017 – Present
Maintaining a list of all Hungarian NLP resources.
HuSpaCy
January 1, 2016 – Present
Developing and maintaining Hungarian models for the spaCy NLP toolkit.
PurePos
September 1, 2011 – May 1, 2014
PurePos is an open source, language independent morphological disambiguator tool, which performs with state-of-the-art accuracy and can be easily adapted to new domains .
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Deep Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
NLP for the Social Media
University of Szeged
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Natural Language Processing
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards open-source contributions (HuSpaCy, PurePos) and academic research, which can be a significant asset for a culture valuing innovation and knowledge sharing. The breadth of experience across different company types (European Commission, startups, universities, self-employed) and project diversity (NLP for social media, customer support, document management) suggests adaptability. The focus on less-resourced languages also highlights a problem-solving and inclusive mindset. However, the lack of explicit team collaboration metrics from assessments limits a deeper cultural fit analysis.
Soft Skills & Operational Fit
The candidate's experience as a Project Lead and Research Team Lead, along with teaching roles, suggests strong leadership, mentorship, and communication skills. The diverse project types (personal, contract, full-time) indicate adaptability and initiative. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.