Benjamin Kallauch
Chief Of Staff at Agile Leader Initiative by Sascha Oehlbrecht GmbH
Hamburg, Germany
Summary
🤩
Rockstar🎓
Top SchoolBenjamin Kallauch is a strategic Chief of Staff at Otto Group one.O with a decade of experience aligning business, technology, and transformation across large, cross-functional organizations. He translates vision into execution for a 1,000+ expert global unit, steering digital and AI initiatives that advance the Otto Group’s end-to-end offerings. His background blends management consulting, product and project leadership, and hands-on data science experience—he previously contributed ML-focused fixes and features to prominent open-source projects like Rasa and skorch. Benjamin’s international education and work history in Sydney, Warsaw, Hamburg and Göttingen give him a genuine global perspective and a bias for action. He also runs employer-branding efforts for the Agile Leader Initiative, showing a knack for combining strategy with external storytelling. Colleagues rely on him for rapid decision orchestration and pragmatic innovation that challenges the status quo.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS Management, Master of Science - MS Management at The University of GöttingenMaster of Research Management, Master of Research Management at Macquarie UniversitySemester abroad Management, Semester abroad Management at Szkoła Główna Gospodarstwa Wiejskiego w WarszawieCertificate program Business Model Innovation, Certificate program Business Model Innovation at HEC Paris
German, English, French
Github Skills (19)
unit-testing10
pytorch10
python10
scikit10
machine-learning10
callback10
rasa10
scikit-learn10
neural-network10
nlp10
dialog9
evaluation9
machine-learning-models9
dialogs9
dialogflow9
Programming languages (2)
Github contributions (5)
skorch-dev/skorch
Jul 2017 - Dec 2018
A scikit-learn compatible neural network library that wraps PyTorch
Role in this project:
ML Engineer & Back-end Developer
ML Engineer & Back-end DeveloperContributions:347 commits, 191 PRs, 225 pushes in 1 year 5 months
Contributions summary:Benjamin's contributions focused on implementing and refining the core features of the skorch library, particularly related to neural network architectures compatible with scikit-learn and PyTorch. They added support for various callback functionalities, including loss tracking, best loss determination, and scoring metrics, which are essential for monitoring and evaluating model performance. The user also refactored existing code for greater reusability and flexibility, as demonstrated by the refactoring of scoring and history features.
pytorchpythonwrapsneural-networksmachine-learning
RasaHQ/rasa
Nov 2017 - Dec 2017
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:ML Engineer
ML EngineerContributions:7 commits, 1 comment, 5 issues in 1 month
Contributions summary:Benjamin's commits primarily focus on bug fixes and enhancements within the Rasa Core framework, specifically related to the sklearn policy. These changes include correcting issues in loading policies, fixing encoding bugs in the probabilistic featurizer, and implementing and testing the SklearnPolicy. Their work includes developing the core functionality of an sklearn policy for dialogue management and demonstrating a deep understanding of the framework's featurization and training pipelines.
nlupythonbotspeech-recognitionbotkit
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