Bert Jacobs is a Self Machine Learning Engineer with 14 years of experience applying multivariate statistics, chemometrics, and machine learning to real-world problems across life sciences, government traffic modelling, and B2B commercial systems. Holding a PhD in Chemometrics and a Master’s in Biomolecular Engineering from KU Leuven, he combines rigorous experimental design and ISO-grade lab experience with production ML that processes hundreds of millions of datapoints daily at AxonJay.ai. His background in spectroscopy and metabolomics led to practical sensor-ML solutions for quality monitoring, while prior roles in sales and project management sharpened his ability to deliver applied, stakeholder-ready systems. He contributes backend improvements to open-source Java projects and has hands-on experience hardening connectors and lifecycle logic in scalable data stores. Based in Aarschot, Belgium, he also moonlights as a drummer and sound designer, often blending music technology with data-driven experimentation. Practical, interdisciplinary, and curious, he excels at turning noisy measurements into actionable prediction pipelines.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Chemometrics and Multivariate Statistics, Doctor of Philosophy - PhD, Chemometrics and Multivariate Statistics at KU Leuven
Master’s Degree, Biomolecular Engineering, Master’s Degree, Biomolecular Engineering at University of Leuven
High School, Science and Mathematics, High School, Science and Mathematics at Sint-Jozefscollege Beringen
ModeShape is a distributed, hierarchical, transactional, and consistent data store with support for queries, full-text search, events, versioning, references, and flexible and dynamic schemas. It is very fast, highly available, extremely scalable, and it is 100% open source and written in Java. Clients use the JSR-283 standard Java API for content repositories (aka, JCR) or ModeShape's REST API, and can query content through JDBC and SQL.
Role in this project:
Back-end Developer
Contributions:6 commits in 27 days
Contributions summary:Bert focused on improving the ModeShape JCA (Java Connector Architecture) implementation. They made changes related to logging, fixed naming issues, and refactored the code to make the ConnectionFactory the entry point. The user also fixed JCA validation errors and addressed issues with the resource adapter shutdown procedure, ensuring proper cleanup and preventing errors. Furthermore, the user enhanced the codebase by fixing i18n issues and initializing the engine when requested by connection classes.
Contributions:68 commits, 24 pushes, 23 branches in 5 years 3 months
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Bert Jacobs - Self Machine Learning Engineer at Skiska