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Co-Founder & VP of Customer Solutions and Engineering at Axelera AI
Co-Founder & VP of Customer Solutions and Engineering at Axelera AI, focused on bridging cutting-edge AI hardware with real-world deployment challenges. My work spans AI acceleration, system architecture, edge computing, benchmarking, customer enablement, and scalable product integration across embedded and enterprise platforms. Passionate about translating deep technology into practical impact, I enjoy working at the intersection of semiconductor innovation, software optimization, sales, and customer success. I have a strong interest in efficient AI systems, high-performance computing, computer vision, generative AI, and next-generation edge AI infrastructure. I value technical curiosity, clear communication, and building strong multidisciplinary teams that can bring ambitious products from concept to production.
KU Leuven
Doctor of Philosophy (PhD), Biomedical Sciences
January 1, 2005 – January 1, 2010
KU Leuven
Master of Science in Statistics , Statistics
January 1, 2005 – January 1, 2008
KU Leuven
Master's degree in Psychology , Theoretical Psychology
January 1, 2003 – January 1, 2005
Axelera AI
Vice President of Customer Engineering and Support
December 1, 2025 – Present
Axelera AI
Director of Customer Solutions and Engineering
April 1, 2024 – December 1, 2025
Axelera AI
Co-Founder
July 1, 2021 – Present
Axelera AI
Head of Machine Learning
July 1, 2021 – April 1, 2024
Bitfury
Deep Learning Architect
May 1, 2021 – July 1, 2021
AiR Hologram
Co-Founder
May 1, 2020 – June 1, 2024
Leuven, Flemish Region, Belgium
imec
Principal Member Of Technical Staff
April 1, 2019 – May 1, 2020
imec
Senior R&D Engineer
October 1, 2018 – April 1, 2019
imec
R&D Engineer | Deep Learning Architect
July 1, 2017 – October 1, 2018
The University of Chicago
Research Staff
April 1, 2017 – June 1, 2017
The University of Chicago
Postdoctoral Fellow
August 1, 2014 – March 1, 2017
Harvard Medical School
Postdoctoral Fellow
April 1, 2012 – August 1, 2014
Boston, MA, USA
KU Leuven
Postdoctoral Fellow
January 1, 2011 – April 1, 2012
Leuven, Belgium
KU Leuven
Doctoral Student
October 1, 2005 – December 1, 2010
Leuven, Belgium
Cultural Fit Analysis
The candidate's background is heavily skewed towards research, deep learning, and AI/ML engineering, with significant leadership and entrepreneurial experience in these domains. While the academic foundation in Statistics is relevant, the professional trajectory has moved significantly into advanced AI/ML development and leadership. The target role of 'Data Analyst' appears to be a significant mismatch with the candidate's demonstrated senior-level expertise in AI/ML architecture, research, and leadership. The candidate's profile suggests a strong fit for roles like 'Lead Data Scientist', 'Machine Learning Engineer', or 'AI Architect' rather than a traditional 'Data Analyst' role. The diversity of projects is high within the AI/ML domain, but the alignment with a pure data analyst role is low.
Soft Skills & Operational Fit
The candidate's extensive experience in research, leadership, and co-founding roles suggests strong problem-solving, innovation, and project management skills. The progression through various technical and leadership roles at companies like imec and Axelera AI indicates adaptability and a drive for impact. The co-founder roles also point to a proactive and results-oriented work attitude. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.