Julien Rebetez
Chief Technology Officer at Picterra
Vevey, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolJulien Rebetez is a Chief Technology Officer with 18 years of experience building production-grade software and ML systems, currently leading Picterra’s geospatial imagery platform from Vevey, Switzerland. He combines deep expertise in machine learning and computer vision with hands-on full-stack engineering—optimizing C/C++ kernels, developing Python ML backends (TensorFlow/PyTorch) and shipping Vue.js frontends on Google Kubernetes Engine. Julien has bridged research and product work throughout his career, contributing to academic projects, teaching assistantships, and deploying models in production for real-world customers. An active open-source contributor, he has made meaningful commits to high-profile projects like Keras and Jupyter Notebook, improving core functionality and UX for image handling. He emphasizes rapid user feedback, continuous integration, automated testing and simple, refactorable designs to reduce product risk. Less obvious: he pairs low-level performance work with user-facing UX improvements, enabling both robust pipelines and practical tools that teams actually use.
18 years of coding experience
10 years of employment as a software developer
BS Information Technology, BS Information Technology at Metropolia University of Applied SciencesLycée cantonal de PorrentruyCTI Entrepreneurship TrainingBachelor of Science HES-SO Informatique, Bachelor of Science HES-SO Informatique at HEIG-VD - School of Business and Engineering, VaudMaster Information Technology, Master Information Technology at HES-SO
French, English, German
Stackoverflow
934reputation
65kreached
24answers
4questions
Github Skills (27)
markdown10
javascript10
back-end-development10
python10
jupyter10
machine-learning10
keras10
deep-learning10
tensorflow10
markdown-it10
neural-network10
jupyter-notebook10
backend10
pytorch9
html9
Programming languages (16)
Github contributions (5)
keras-team/keras
Dec 2015 - Oct 2017
Deep Learning for humans
Role in this project:
ML Engineer
ML EngineerContributions:11 commits, 13 PRs, 33 comments in 1 year 10 months
Contributions summary:Julien primarily contributed to the core functionality of the Keras library. Their commits focused on enhancing the backend support with functions like `repeat_elements` and `resize_images`. They also implemented tests to ensure the correctness of new backend operations and modified existing layers like `UpSampling2D` to leverage new functionality. Furthermore, the user made adjustments for Python version compatibility.
pythondata-sciencedeep-learningneural-networksmachine-learning
jupyter/notebook
Oct 2015 - Apr 2016
Jupyter Interactive Notebook
Role in this project:Front-end Developer
Front-end DeveloperContributions:23 commits, 6 PRs, 34 comments in 6 months
Contributions summary:Julien significantly contributed to the Jupyter Notebook front-end, focusing on improving image handling and attachment functionality. They implemented features for inserting images, including a dialog for file selection and support for drag-and-drop image insertion within markdown cells. The user also refactored the attachment handling to use the cell's attachment property and created a more user-friendly attachments editing dialog, improving the user experience of the Jupyter Notebook. They also added a copy/paste cell attachments test.
jupyter-notebooknotebookjupyterlabnotebooksjupyter
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