Eelco Hoogendoorn
Founder at 3dhubs
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolEelco Hoogendoorn is a founder and applied ML engineer with 12 years of experience building machine-learning systems that interact with the physical world, from FDA‑grade biomedical simulation to learned control for commuting robotics. He combines a PhD in computational biology and a strong applied-math background with hands‑on software engineering—contributing to projects like jsonpickle (advanced NumPy serialization) and several open‑source simulation tooling repos used beyond his startups. At 3D Hubs he led R&D to turn geometry‑aware ML algorithms into a core, revenue‑driving platform, and at Ribi Robotics he designs bespoke simulation stacks to train and validate real actuator and robot dynamics. Known for bridging rigorous academic methods with production engineering, he’s equally comfortable inventing new algorithms, shipping robust libraries, and shaping team strategy.
12 years of coding experience
2 years of employment as a software developer
Master's degree Computational Fluid Dynamics, Master's degree Computational Fluid Dynamics at University of TwenteDoctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at University of Amsterdam
Stackoverflow
111reputation
4kreached
0answers
3questions
Github Skills (14)
serialization10
deserialization10
data-serialization10
python10
numpy10
testing10
json8
bz28
object-storage7
namespaces6
data-visualization6
3d6
dll6
linq6
Programming languages (12)
Github contributions (5)
jsonpickle/jsonpickle
May 2016 - Jan 2017
Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:22 commits, 4 PRs, 19 comments in 8 months
Contributions summary:Eelco primarily contributed to the `jsonpickle` library by implementing serialization and deserialization features for NumPy arrays, including support for different data types, shapes, and memory layouts. They introduced binary encoding and compression for efficiency, tested different array views and ensured the correct handling of strides and memory management. The contributions demonstrate a focus on extending the library's capabilities and ensuring its correctness through comprehensive testing.
python-libraryobject-graphserializingpythondeserialization
EelcoHoogendoorn/pycomplex
Jul 2017 - Jun 2020
Contributions:323 commits, 280 pushes, 2 branches in 2 years 11 months
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