Malte Pietsch
Co-Founder at deepset
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolMalte Pietsch is a Berlin-based Co-Founder and NLP engineer with 11 years of experience bringing large language models into production for enterprises. He co-founded deepset, where he helped build the open-source Haystack orchestration framework and the deepset Cloud platform used by customers like Airbus and Siemens to deploy RAG and QA systems. Hands-on in ML engineering, his open-source contributions span FARM and Hugging Face Transformers—focusing on transfer learning, fine-tuning, and practical fixes that improve real-world model training and tokenization. With a background in data science at plista and academic stints including Carnegie Mellon, he blends product thinking, engineering rigor, and technical writing to make complex NLP stacks usable at scale. An understated strength is his attention to developer experience and documentation, evidenced by hands-on README and example improvements that lower the barrier for teams adopting LLM tooling.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science Information Systems, Bachelor of Science Information Systems at University of MünsterMaster of Science with honors Finance and Information Management, Master of Science with honors Finance and Information Management at Technical University of MunichVisiting Researcher, Visiting Researcher at Carnegie Mellon UniversityThe University of Melbourne
German, English, French
Stackoverflow
915reputation
130kreached
5answers
7questions
Github Skills (29)
pytorch10
language-model10
restructuredtext10
python10
machine-learning10
rs10
deep-learning10
question-answering10
transformer10
transfer-learning10
nlp10
documentation10
pre-trained-model9
mlflow7
elasticsearch6
Programming languages (9)
Github contributions (5)
deepset-ai/FARM
Jul 2019 - Nov 2021
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Role in this project:
ML Engineer
ML EngineerContributions:5 releases, 55 reviews, 364 commits in 2 years 4 months
Contributions summary:Malte focused on refactoring and updating code related to Machine Learning projects in the `farm` repository. The user modified multiple example files such as `ner.py`, `doc_classification.py`, and `question_answering.py` to adjust configurations, update the API and add a test file. These changes mainly involved updating the MLflow logging URL, adjusting example scripts and improving documentation, demonstrating work related to machine learning and experimentation.
bertxlnet-pytorchnatural-language-processingtransformersharvesting
deepset-ai/haystack
Nov 2019 - Oct 2022
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Role in this project:Technical Writer
Technical WriterContributions:7 releases, 690 reviews, 301 commits in 2 years 11 months
Contributions summary:Malte's commits primarily focused on updating the README.rst file. These updates included changes to the introduction, core features, components, and quickstart sections. Furthermore, the user added an image to the documentation. These changes focused on improving the clarity and comprehensiveness of the documentation.
pythonbertfinetuningproduction-readyhuggingface-transformers
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