Arnaud Stiegler
Member Of Technical Staff at ReflectionAI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolArnaud Stiegler is a machine learning engineer with nine years of experience building production ML systems and data pipelines, most recently as Member of Technical Staff at ReflectionAI after a multi-year tenure at Hyperscience. He combines hands-on model development and ML engineering with a strong background in scalable data processing from internships and research roles at École Polytechnique, Natixis, and Braze. Arnaud has contributed to open-source tooling—refactoring template handling and UI improvements in the widely used promptsource project—demonstrating attention to maintainability and developer experience. His work spans anomaly detection, explainable deep learning, and ETL/ELT architectures, and he brings both academic rigor (École Polytechnique, Columbia MS Data Science) and practical production discipline to ML-driven products. Notably, he has published on explainable anomaly detection and implemented fault-injection and monitoring frameworks for streaming systems, reflecting an interest in robustness and observability.
9 years of coding experience
5 years of employment as a software developer
Classes Préparatoires, Classes Préparatoires at Lycée Saint-LouisMS in Data Science, MS in Data Science at École PolytechniqueMaster of Science - MS Data Science, Master of Science - MS Data Science at Columbia University
Stackoverflow
315reputation
10kreached
7answers
7questions
Github Skills (15)
templater10
template-engine10
python10
jinjava9
nlp9
machine-learning8
natural-language-processing8
github7
concatenation6
datetime6
pytorch6
tensor6
numpy6
pairwise6
scikit-learn6
Programming languages (7)
Github contributions (5)
bigscience-workshop/promptsource
May 2021 - Sep 2021
Toolkit for creating, sharing and using natural language prompts.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 reviews, 20 commits, 11 PRs in 3 months
Contributions summary:Arnaud primarily contributed to the refactoring of template handling within the promptsource project. Their work involved restructuring template organization, introducing UUIDs for template identification, and streamlining template loading and saving. They also made updates to the user interface code of the project. The user's contributions indicate a focus on improving the maintainability and functionality of the template system.
nlppromptspythontransfer-learningsharing
arnaudstiegler/gameNgen-repro
Sep 2024 - Mar 2025
An open source implementation of the gameNgen paper
Contributions:7 reviews, 24 PRs, 95 pushes in 6 months
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