Alexis Brenon
Technical Architect at Perion
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolAlexis Brenon is a Technical Architect based in Paris with 12 years of experience bridging data science and data engineering to take cutting-edge research into production. He holds a PhD in Computer Science focused on deep reinforcement learning and has led data teams and architecture at companies like Greenbids and ADYOULIKE, combining research rigor with pragmatic software engineering. A hands-on contributor to notable open-source projects such as Apache Airflow and TensorFlow docs, he improves both operator reliability in cloud workflows and practical ML documentation. Known for shipping production-grade ML systems for robotics and smart-home decision making, he excels at making complex pipelines robust and maintainable. Colleagues value his ability to translate advanced algorithms into reliable, observable services that scale in real-world environments.
12 years of coding experience
8 years of employment as a software developer
Baccalauréat (A grade), Baccalauréat (A grade) at Lycée Rosa ParksMaster's degree Computer Science, Master's degree Computer Science at Université Joseph Fourier (Grenoble I)Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Grenoble AlpesMaster 1 Computer Science, Master 1 Computer Science at Aix-Marseille UniversitéLicentiate degree Computer Science, Licentiate degree Computer Science at Université Claude Bernard Lyon 1
French, English
Stackoverflow
3,019reputation
204kreached
93answers
22questions
tensorflow
top-5%
python
top-5%
Github Skills (20)
apache-airflow10
google-cloud-platform10
data-pipelines10
python10
data-engineering10
gcp10
tensorflow10
orchestration10
orchestra10
data-pipeline10
documentation10
timedelta9
pycharm6
keras6
tensorflow-datasets6
Programming languages (18)
Github contributions (5)
apache/airflow
May 2019 - Aug 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend Developer
Backend DeveloperContributions:6 reviews, 7 PRs, 19 comments in 6 years 4 months
Contributions summary:Alexis contributed to the Apache Airflow project, primarily focusing on enhancing the Dataproc operator. Their work involved modifying the Dataproc operators to cancel jobs on timeout and implementing timedelta support for sensor arguments. Additionally, the user added documentation improvements regarding cron and delta timetables, and fixed a logging issue to prevent log name overriding in Google Cloud logging. These changes improve operator functionality and enhance the user experience.
airflowapache-airflowapachepythonscheduler
tensorflow/docs
Oct 2019 - Nov 2019
TensorFlow documentation
Role in this project:Technical Writer
Technical WriterContributions:22 commits, 2 PRs, 16 comments in 1 month
Contributions summary:Alexis primarily contributed to the documentation of the `tensorflow/docs` repository. Their commit involved creating the first draft for a data performance notebook, focusing on the `tf.data` API. The code changes include the addition of introductory content, example code and visualization of pipelining within the documentation.
tensorflowtensorflow-tutorialsmachine-learningdeep-learningdeep-neural-networks
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