Fabian Schreiber
Data & AI Engineer
Oldenburg, Lower Saxony, Germany
Summary
👤
Senior🎓
Top SchoolFabian Schreiber is a Data & AI Engineer with 13 years of experience building production-grade ML and data platforms for healthcare and bioinformatics. He has led projects from genomic and biomarker harmonization to hospital-grade sepsis prediction and AI-driven medical billing, often reducing data extraction or error-detection times from months to minutes or seconds. Technically fluent in Python, PyTorch/Fastai, scikit-learn, Kubeflow, MLFlow and LLM tooling like LangChain, he combines deep learning research with robust MLOps and test-driven pipelines. His background spans elite research institutes (EMBL-EBI, Sanger) and industry (Boehringer Ingelheim, IBM, Charité), giving him rare domain fluency across biology, clinical data and regulated enterprise systems. Based in Oldenburg, Germany, he frequently bridges academic rigor and product delivery—evident in scalable Spark pipelines for multi-terabyte clinical data and cohort selection for 200k+ sepsis cases.
13 years of coding experience
16 years of employment as a software developer
PhD, Data Science (Bioinformatics), PhD, Data Science (Bioinformatics) at Graduate School for Neurosciences and Molecular Biosciences (Göttingen)Biology, Biology at University of TurkuMaster of Science, Applied Computer Science, Master of Science, Applied Computer Science at Georg-August-Universität GöttingenFriedrichsgymnasium Kassel
German, English, Swedish, Spanish, Dutch
Github Skills (26)
raise10
deep-learning5
machine-learning5
artificial-intelligence5
viewer3
jekyll-theme3
jekyll3
ruler3
pyspark2
perfect2
javascript2
webgl2
triangular2
apache-zeppelin2
ambari2
Programming languages (4)
Github contributions (5)
fabsta/interesting_notebooks
Oct 2018 - Apr 2020
Contributions:30 commits, 18 pushes, 1 branch in 1 year 6 months
fabsta/d3_sunburst
Feb 2015 - Jul 2015
Contributions:57 commits, 56 pushes, 1 branch in 5 months
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