Marco Van Der Linden
Leiden, South Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolNozziel Shadow is a Machine Learning Engineer based in the Netherlands with 10 years of experience bridging ML research and production engineering. He contributes to prominent open-source projects like DeepChem, where he improved build and dependency workflows, hardened Docker builds, added user-facing model-loading warnings, and standardized code formatting—work that underscores his focus on reproducibility and developer experience. Comfortable operating at the intersection of DevOps and model development, he brings reliability-minded solutions to ML pipelines and deployment. Known on GitHub as a "code monkey with an affinity for Machine Learning," he pairs pragmatic engineering with attention to usability and consistency.
11 years of coding experience
24 years of employment as a software developer
-, Computer Science - SE, -, Computer Science - SE at Leiden UniversityVWO, VWO at Groene Hart Lyceum
English, Dutch
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
tensorflow210
dockerce10
docker10
deep-learning10
tensorflow10
ci-cd10
dockers10
build-automation10
python9
drug-discovery8
science7
quantum-chemistry7
Programming languages (8)
Github contributions (5)
deepchem/deepchem
May 2022 - Jun 2022
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
DevOps Engineer
DevOps EngineerContributions:3 reviews, 6 commits, 2 PRs in 1 month
Contributions summary:Marco focused on improving the build process and dependencies within the DeepChem project. They added warnings to model loading, ensuring better error handling. The user addressed the Docker build process, and also added the [tensorflow] dependency to the pip install command in the tutorial notebook. Additionally, the user applied code formatting using yapf, ensuring code consistency.
chemistrysciencedrug-discoverydeep-learningbiology
swb-ief/etl-pipeline
Dec 2020 - Jul 2021
The Covid Lens
Contributions:55 reviews, 236 commits, 72 PRs in 7 months
covdi19lens
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