About
I design and operate production systems where software, data, AI and infrastructure meet.
ir. Jorrit Klein Bramel
I’m a senior data and machine learning engineer based in the Netherlands. For more than a decade, I’ve owned systems end to end — from architecture and implementation through delivery, observability and performance.
I usually work where systems have become too complex, too fragile or too difficult to scale. That often means simplifying overengineered systems, breaking them into maintainable components and helping teams operate them properly. I’m strongest where software engineering, data engineering and infrastructure meet.
The work that interests me most sits close to production: systems that must stay understandable under load, fail in predictable ways and remain maintainable after the first release.
I hold a Master of Science in High Performance Computing with Data Science from the University of Edinburgh, recognised in the Netherlands for the engineering title ir. I also hold a Bachelor of Science in Computer Science (Systems Engineering) with First Class Honours from Middlesex University London.
Selected Experience
I work as a data engineer at Dataworkz, helping organisations turn data and AI into systems teams can operate. Selected engagements include aviation computer vision and real-time systems at Royal Schiphol Group, GenAI and data platforms for Anthony Veder, and cloud data platforms at Essent.
Typical problems involve getting signals from messy operational environments into decision-ready pipelines, serving models with enough observability to trust them in production, and designing platforms that teams can operate without constant heroics.
Outside client work I build public tools and run personal infrastructure, including a Nomad and Consul cluster on dedicated hardware in the QTS data centre in Groningen. That lab is where I pressure-test high-throughput designs, observability choices and model serving before the same ideas show up in larger systems.
Selected Projects
LogWatchr watches Certificate Transparency at stream volume. A live CT ingest pipeline with a web UI and API for inspecting names, issuers, validity and fingerprints as certificates appear — Go, ClickHouse and WebSockets keep high-throughput monitoring practical.
AptPeek makes Debian and Ubuntu package repositories searchable without local installs. A web interface and API cover package versions, metadata, checksums and repository statistics across Debian, Ubuntu and selected vendor feeds, with a maintainable Go backend oriented around fast lookup.
NameCraftr helps founders find usable brand names without juggling separate tools. An AI-assisted generator checks domain availability in real time and returns ideas that can be registered, keeping the path from idea to decision short.
Have I Been Zuckered makes a large-scale Facebook data leak searchable without collecting more personal data. Privacy-preserving lookup using k-anonymity, with no stored user input, over more than 500 million records — public awareness under careful operational constraints.
Have I Been Linked documents scraping practices on professional networking platforms. A public reference that explains how exposure can happen and what that means for digital literacy — transparency, not spectacle.
Publications and Speaking
Klein Bramel, J.A., Borg, M. and Rello, L. (2020). Classifying Dyslexic Readers with Immersive Technologies using Machine Learning and Eye Tracking Measures.
Klein Bramel, J.A., Rello, L. and Borg, M. (2020). A Virtual Reality Prototype for Dyslexia. Presented at the Workshop on Information Technology and Systems (WITS) 2020.
Klein Bramel, J.A. (2022). Orchestrating Data-Driven Pipelines With the Help of Pachyderm. Presented at Blipz on the Radar, Utrecht, 2022.
Get in Touch
For conversations about consulting or technical collaboration — especially around production data and AI platforms, performance-sensitive systems or open-source work — get in touch.
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