Ines Montani
CEO & Founder at Explosion
Berlin, Germany
Summary
🤩
Rockstar🎓
Top School
Top expert inNatural Language Processing and Machine Learning Technologies
Ines Montani is the CEO and founder of Explosion, a Berlin-based company behind spaCy and Prodigy, with a decade of experience building developer tools for AI, machine learning, and NLP. She combines hands-on engineering—contributing to core libraries, transformer integrations, and full-stack UI work—with product leadership that ships usable tooling for practitioners. Her open-source contributions span documentation, CLI and DVC integrations, Streamlit visualizers, and internationalized course content, reflecting attention to both developer workflows and end-user experience. She has deep practical knowledge of annotation workflows and active learning, evidenced by extensive work on Prodigy recipes and spaCy training pipelines. Prior roles in freelance development and international media bring a background in communication and education to her technical leadership. Based in Berlin, she uniquely blends linguistics training with production-grade ML engineering to make complex NLP accessible.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Communication Science Linguistics Media Studies, Bachelor’s Degree Communication Science Linguistics Media Studies at The University of Bonn
German, English
Stackoverflow
7,045reputation
432kreached
92answers
0questions
nlp
top-1%
python
top-5%
Github Skills (47)
transformers10
pytorch10
javascript10
prodigy10
restructuredtext10
python10
annotations10
visualizer10
command-line-interface10
sass10
machine-learning10
user-interface10
ui-design10
vector10
uid10
Programming languages (11)
Github contributions (5)
explosion/spaCy
Apr 2016 - Feb 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:69 releases, 169 reviews, 5095 commits in 5 years 11 months
Contributions summary:Ines's commits primarily focus on modifying the project CLI, including adding and updating functionality related to spaCy projects. This includes changes to project cloning, asset fetching using Data Version Control (DVC), and running scripts defined in project configurations. The code changes indicate an involvement in the project's core functionality and its integration with DVC.
fairness-mlpythondata-preprocessinglanguage-processingtokenization
explosion/spacy-streamlit
Jun 2020 - Dec 2021
👑 spaCy building blocks and visualizers for Streamlit apps
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:4 releases, 6 reviews, 29 commits in 1 year 6 months
Contributions summary:Ines made multiple contributions to the `spacy-streamlit` repository, focusing on improving the user interface and adding features. Their work involved tightening the API and UI, including adding and refining visualizers. Further contributions included updating meta settings, adding a configuration option, and supporting more flexible model and visualizer selection. They also updated the project to work with the latest Streamlit version.
pythontokenizationword-vectorssentiment-analysisnatural-language-processing
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