Hi, I am Alex.

I am a software engineer & data scientist living in Lyon (FR)

Among my many technical interests are software engineering, data visualization and statistics. I work on developing a wide range of skills. Thus, I feel just as confident writing a data preprocessing script, serving a model in a web server, or setting up a CI pipeline for unit tests.

My day is significantly influenced by technology watch, as I prefer to remain informed about the most recent developments in Python or analytics tools. I strongly believe in the FOSS mindset and, when I can, I contribute to the projects that I enjoy.

I obtained my Master of Science in Engineering with a major in telecommunications in 2017 with honors.

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Experiences

All of my professional work, collected in chronological order.

2024 - Current

Canonical

Software Engineer - Data Platform & AI

I am part of the Data Platform & AI team, where I work on technologies such as Kafka, ZooKeeper or Spark, from packaging the sources all the way up to charmed operators to automate their deployment, integration & lifecycle management.

2019 - 2024

HEVA

Data Scientist & Tech lead

I took on some additional responsibilities. I provided technical support for the entire firm and managed the evolution of our technical stack.

Data Scientist

My responsibilities were twofold. I performed analyses on national health claim data for our clients in the pharmaceutical industry. This work involved data management, statistical modeling, and reporting with the PyData stack. As a Python developer and maintainer, I also took care of my team's internal tools.

2017 - 2018

Worldline

Software Engineer

I was part of the Business Intelligence & Big Data team in charge of designing and building a production-ready data science platform for training and deploying models. I worked on several projects involving banking information (fraud detection, cheque recovery prediction) with full-fledged data scientists.

Engineering internship

I worked in the Business Development unit on a banking chatbot.

Experiences

I have worked on many little projects over the years but these are the ones that Iā€™m most proud of. I hope this list will continue to grow in the future!

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    pyOpenSci

    I am an emiritus editor-in-chief of the community that promotes open-source, free Python tools for scientific data processing.

    pyopensci.org

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    Twitter campaign

    I co-created a bot for a music promotional campaign. Over five days, the bot generated and served over 4,000 short videos and were among the top trending topics worldwide.

    twitter.com

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    Effective Pandas Book

    I am honored to be credited as a technical editor in this excellent book by Matt Harrison. This book presents the best practices for manipulating data with Pandas.

    metasnake.com

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    Camelia

    I co-created Camelia (discontinued), a platform combining audio analysis, video generation, and background workers to allow music artists to create videos quickly.

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    Personal website

    This personal website was the perfect opportunity to take a shot at some technologies I do not usually use

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    Scikit-learn Sprint of the Decade

    I participated in a 3-days scikit-learn sprint in Jan. 2020. I met some lovely people there and contributed to one of the most essential packages in the PyData ecosystem.

    scikit-learn.fondation-inria.fr