Mark Romme
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer at kaiko.ai
I am a open minded engineer that is interested in a broad range of disciplines. Over the past years I have experienced the opportunities of Data Science and AI in a variety of companies and fields. My main interest lies in the application of the most innovative technologies, such as ML, Reinforcement Learning and NLP in practical solutions. While working on a project I like to get an overview of the total problem and from there sketch the different possibilities. Within projects I like to work in teams and motivate other people to get most out of each opportunity. I like to work with people, I like to discuss and share ideas. Besides, the feeling of being responsible for my work makes me eager to work harder and deliver a better result. Next to my work I like to be part of groups to make peoples life more fun and add something to society.
University of Amsterdam
Master, Artificial intelligence
January 1, 2017 – January 1, 2019
Korea Advanced Institute of Science and Technology
Exchange program, Computer Science
January 1, 2015 – January 1, 2015
University of Twente
Bachelor of Science (B.S.), Technology, Liberal Arts and Sciences
January 1, 2013 – January 1, 2016
Groene Driehoek
VWO, Natuur en Techniek
January 1, 2007 – January 1, 2013
kaiko.ai
Staff Machine Learning Engineer
January 1, 2026 – Present
Amsterdam, Noord-Holland, Nederland
kaiko.ai
Senior Machine Learning Engineer
August 1, 2023 – January 1, 2026
Amsterdam, Noord-Holland, Nederland
kaiko.ai
Machine Intelligence Research Engineer
March 1, 2022 – August 1, 2024
Amsterdam, Noord-Holland, Nederland
BrainCreators
Machine Learning
March 1, 2021 – March 1, 2022
Amsterdam, Noord-Holland, Nederland · Hybrid
DuckDuckGoose AI
Deep Learning Engineer
December 1, 2020 – March 1, 2021
Amsterdam, Noord-Holland, Nederland
Zeta Alpha Vector
Machine Learning Engineer
November 1, 2019 – July 1, 2020
Amsterdam en omgeving, Nederland
Bit
Part of the Team
October 1, 2017 – September 1, 2019
Amsterdam en omgeving, Nederland
Green Orange digital marketing
Chatbot and Machine Learning developer
June 1, 2017 – September 1, 2017
Oldenzaal
University College Twente, University of Twente
Assisting Core Team Members
September 1, 2016 – March 1, 2017
Green Orange digital marketing
Data Intern
September 1, 2016 – March 1, 2017
Oldenzaal
Study Association Atlantis
Treasurer
September 1, 2014 – July 1, 2015
University of Twente
Coordinator Promotie Atlas
November 1, 2013 – August 1, 2014
Cultural Fit Analysis
The candidate has a strong focus on AI/ML roles across different companies, including startups (DuckDuckGoose AI, Zeta Alpha Vector, BrainCreators) and a more established research-focused company (kaiko.ai). This indicates adaptability to various work environments. The experience in medical imaging and deepfake detection suggests an interest in impactful and challenging domains. However, the lack of detailed project descriptions makes it difficult to assess alignment with specific company values or team dynamics beyond technical contributions.
Soft Skills & Operational Fit
The candidate's progression through various roles at kaiko.ai and experience in setting up AI projects at Bit suggests leadership potential and initiative. Experience with MLOps indicates a focus on robust, scalable, and reproducible AI solutions, which aligns with operational excellence. However, without specific soft skill assessments or project details, a deeper analysis of collaboration, problem-solving, and communication is limited.