Henning Peters

Berlin, Germany

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Summary

🤩

Rockstar

🎓

Top School

Henning Peters is a seasoned engineering leader and entrepreneur with 14 years of experience building and scaling product-focused technology ventures from early-stage startups to corporate R&D. He co-founded and led multiple startups (spaCy, RiseML, SatoshiPay, Absolventa) and served in senior technical and leadership roles at companies including NVIDIA and Skoobe, with several exits on his resume. Based in Berlin, he blends hands-on engineering—contributing to notable open-source projects like spaCy, Thinc and sense2vec—with product and board-level strategy, especially around NLP tooling and CI/CD automation. Henning’s background spans deep technical work (German NLP tokenization, build automation, refactoring for compatibility) to founding-level growth challenges, reflecting a knack for turning research-grade systems into production-ready platforms.

13 years of coding experience

18 years of employment as a software developer

M.Sc. Computer Science, M.Sc. Computer Science at Max-Planck Institute for Informatics

B.Sc. Computer Science, B.Sc. Computer Science at The University of Göttingen

English, Spanish, Catalan, Japanese, German

Github Skills (21)

tokenize10

python10

rman10

testing10

cicd10

automation10

tokenizer10

natural-language-processing10

cython10

build-automation10

g10

automations10

nlp10

devops10

numpy9

Programming languages (5)

C++ShellCCythonPython

Github contributions (5)

explosion/sense2vec

Feb 2016 - Apr 2016

🦆 Contextually-keyed word vectors

Role in this project:

Full-stack Developer

Contributions:56 commits, 5 PRs, 71 pushes in 2 months

Contributions summary:Henning's contributions primarily involve refactoring the project and making it compatible with different versions and dependencies. They have updated the setup.py file and modified the download script. The user has also changed the freqs.json data format. Further contributions include code cleanup, fixing potential memory corruption, and addressing specific issues, indicating a focus on code quality and maintainability.

nlppythonkeyedword-embeddingsvectors

explosion/spaCy

Sep 2015 - May 2016

💫 Industrial-strength Natural Language Processing (NLP) in Python

Role in this project:

Backend Developer

Contributions:233 commits, 40 PRs, 48 pushes in 7 months

Contributions summary:Henning primarily contributed to the development of German language-specific rules and functionalities within the spaCy library. They modified and added new special cases and contractions for tokenization in German. This involved creating and modifying Python scripts, specifically focusing on `generate_specials.py`. The contributions appear to enhance the library's capabilities for Natural Language Processing tasks in the German language, improving tokenization accuracy.

fairness-mlpythondata-preprocessinglanguage-processingtokenization

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