I’m Jens, a PhD candidate at TU/e with a passion for scalable algorithms and data-driven solutions. My research focuses on large-scale similarity search and time-series analysis, with publications in top venues like VLDB and SIGMOD. I enjoy bridging theory and production, delivering ML pipelines and systems that handle terabytes of data in real-world settings. Beyond research, I thrive in collaborative environments, mentoring students, and building end-to-end data solutions—from data engineering on massive datasets to robust ML experimentation and deployment. I’m always eager to explore interdisciplinary problems and share knowledge with the broader community.

Jens d’Hondt

I’m Jens, a PhD candidate at TU/e with a passion for scalable algorithms and data-driven solutions. My research focuses on large-scale similarity search and time-series analysis, with publications in top venues like VLDB and SIGMOD. I enjoy bridging theory and production, delivering ML pipelines and systems that handle terabytes of data in real-world settings. Beyond research, I thrive in collaborative environments, mentoring students, and building end-to-end data solutions—from data engineering on massive datasets to robust ML experimentation and deployment. I’m always eager to explore interdisciplinary problems and share knowledge with the broader community.

Available to hire

I’m Jens, a PhD candidate at TU/e with a passion for scalable algorithms and data-driven solutions. My research focuses on large-scale similarity search and time-series analysis, with publications in top venues like VLDB and SIGMOD. I enjoy bridging theory and production, delivering ML pipelines and systems that handle terabytes of data in real-world settings.

Beyond research, I thrive in collaborative environments, mentoring students, and building end-to-end data solutions—from data engineering on massive datasets to robust ML experimentation and deployment. I’m always eager to explore interdisciplinary problems and share knowledge with the broader community.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Dutch
Fluent
French
Advanced
German
Advanced

Work Experience

PhD Candidate at Eindhoven University of Technology (TU/e)
November 1, 2021 - Present
Developing algorithms for large-scale similarity search, focusing on scalability. Leading research in time series analysis, resulting in multiple top-tier publications. Technical lead in EU-funded project, designing ML pipelines for remote sensing at TB-scale.
Data Engineering Intern at BMW Group
December 1, 2020 - September 6, 2025
Led migration of a legacy Data Warehouse from On-premise to AWS using Spark and Bash scripting. Designed data infrastructure to process approximately 150 TB/day, improving part anomaly-detection using AWS Glue, Lambda and DynamoDB. Re-engineered the data-storage and retrieval strategy of dashboards to improve scalability to handle approximately 1 TB of data.
Software Engineer - Freelance at Freelance – Eindhoven, Netherlands (Various clients)
November 1, 2021 - September 6, 2025
Creation and implementation of data-driven applications, performing statistical analyses for clients leveraging Angular, Python, Spark, and Kafka.
PhD Candidate at Eindhoven University of Technology (TU/e)
November 1, 2021 - Present
Developing scalable algorithms for large-scale similarity search; leading research in time series analysis with multiple top-tier publications (VLDB, SIGMOD); technical lead on an EU-funded project, designing ML pipelines for remote sensing at TB-scale.
Data Engineering Intern at BMW Group
December 1, 2020 - September 6, 2025
Led migration of a legacy Data Warehouse from on-premise to AWS using Spark and Bash scripting. Designed data infrastructure to process ~150 TB/day, improving part anomaly-detection using AWS Glue, Lambda and DynamoDB. Re-engineered the data-storage and retrieval strategy of dashboards to improve scalability to handle ~1 TB of data.
Software Engineer - Freelance at Freelance
November 1, 2021 - September 6, 2025
Created data-driven applications and performed statistical analyses for clients leveraging Angular, Python, Spark, and Kafka.

Education

PhD at Eindhoven University of Technology (TU/e)
November 1, 2021 - December 1, 2025
MSc - Data Science and Artificial Intelligence at Eindhoven University of Technology (TU/e)
September 1, 2019 - October 1, 2021
BSc - Industrial Engineering at Eindhoven University of Technology (TU/e)
September 1, 2016 - September 1, 2019
PhD in Computer Science at Eindhoven University of Technology (TU/e)
November 1, 2021 - December 1, 2025
MSc in Data Science and Artificial Intelligence at Eindhoven University of Technology (TU/e)
September 1, 2019 - October 1, 2021
BSc in Industrial Engineering at Eindhoven University of Technology (TU/e)
September 1, 2016 - September 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Other