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Machine Learning engineer; Mandarin student
My fascination has always been the ease with which humans can process information, and how difficult it is to reproduce such prowess in technical applications. During my PhD research, I have focused on integrating these two areas, investigating human information processing and applying the knowledge gained in technical applications. In the years following, I moved to industry and applied my knowledge of data processing, pattern recognition and machine learning in practical applications. Focus: more intelligent processing of (large) datasets, in areas like text processing, sound processing, and financial data. Human cognitive abilities continue to be a source of inspiration for me. I am also interested in languages, both in their own right and as an example of human information processing. My PhD research combined the two: automatic processing of Dutch sign language. Around the same time, I became interested in Chinese language and culture and started learning Mandarin in my spare time.
Qingdao University
Non-degree, Mandarin
July 1, 2024 – January 1, 2025
Liaoning Normal University
1-year language study program, Mandarin
January 1, 2014 – January 1, 2015
University of Groningen
MSc (with honours), Artificial Intelligence
January 1, 1998 – January 1, 2004
University of Amsterdam
propedeuse (1 year, with honours), Physics
January 1, 1997 – January 1, 1998
Web-IQ
Team Lead and Machine Learning Specialist
November 1, 2021 – February 1, 2024
Groningen, Netherlands
Sentinels
Team Lead and Machine Learning Engineer
July 1, 2019 – September 1, 2021
Groningen, Netherlands
Slimmer AI
Machine Learning Expert
October 1, 2015 – April 1, 2021
Groningen, Netherlands
INCAS³
Postdoctoral Researcher
December 1, 2011 – August 1, 2014
Assen, Netherlands
Delft University of Technology
PhD Student
May 1, 2005 – October 1, 2009
Delft Area, Netherlands
TriCAT iConsulting
Software Developer
June 1, 2002 – August 1, 2002
Groningen, Netherlands
University of Groningen
Teacher's Assistant
January 1, 2000 – January 1, 2004
Groningen, Netherlands
Information Extraction
January 1, 2018 – June 1, 2019
Information extraction and localization in pdf and other text documents using regex and NER.
Auditory Event Recognition
May 1, 2014 – August 1, 2014
Implementing various audio processing and feature extraction methods in Python. Recording audio. Testing methods on data.
Sound storage database
November 1, 2013 – August 1, 2014
Designing the database model for storing diverse sets of audio data, labels, and experimental results. Implementing the database as a Rails application. Writing Rails tests. Writing scripts for interfacing with the database using both Ruby and Python.
Wise Technology
June 1, 2013 – December 1, 2013
Co-operating with Target Holding (www.target-holding.nl) to assess the feasibility of using their Wise Technology for audio data storage and processing. Involves designing and implementing data objects and dependencies using Python.
Sign Language Recognizer for children (ELO)
May 1, 2005 – May 1, 2008
Project developing an automatic recognition system for Dutch sign language to help children practice. Involves performing experiments into sign language perception, and developing and implementing algorithms for automatic recognition of isolated sign language signs using Matlab.
Professional Scrum Product Owner™ I (PSPO I)
Scrum.org
June 24, 2026 – Present
HSK level 5 (Chinese proficiency test ~ CEFR B1)
Hanban (Confucius Institute Headquarters)
June 24, 2026 – Present
A New History for a New China, 1700-2000: New Data and New Methods, Part 1
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research to industry applications in AI/ML, suggests adaptability. Their roles as Team Lead indicate a collaborative and leadership-oriented approach. The long tenure at Slimmer AI/Sentinels shows commitment. However, the target role of 'Data Analyst' might be a step down from their 'Machine Learning Specialist/Engineer' and 'Team Lead' roles, potentially indicating a mismatch in career trajectory or a desire for a different focus. The extensive academic background and research focus might lean more towards R&D than typical data analysis operations.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and project management skills from their Team Lead roles. Experience in customer contact and drafting project proposals indicates good communication and stakeholder management. The academic background suggests a research-oriented and analytical mindset, which is beneficial for complex data analysis tasks. However, specific operational fit for a pure Data Analyst role (e.g., dashboarding, advanced SQL for reporting) is not explicitly detailed.