Philippe Modard is a Principal Engineer and former rocket scientist with 14 years of experience building and operating large-scale distributed systems and ML infrastructure for millions of users. He leads infrastructure and engineering teams (most recently at Imec AI Labs) to deliver high-density GPU clusters, containerized inference APIs, and robust MLOps pipelines on AWS and Google Cloud. Deeply hands-on in Go, Python and Node.js, he combines low-level optimization and algorithmic thinking—born from structural dynamics and vibration testing—with pragmatic cloud-native engineering. An active contributor to notable projects like Kaggle's docker-python image and OpenCollective's API, he bridges research, product and production reliability. Based in Brussels, he’s also a TEDx speaker and musician, bringing curiosity and clear communication to technically ambitious roadmaps.
14 years of coding experience
17 years of employment as a software developer
Master Management Master, Master Management Master at University of Liège
Secondary school Mathematics Sciences Latin, Secondary school Mathematics Sciences Latin at INDA & ARA (Arlon)
Master Aeronautics, Master Aeronautics at Universidad Politécnica de Madrid
Contributions:128 reviews, 63 commits, 143 PRs in 3 years 11 months
Contributions summary:Philippe primarily focused on integrating and testing various Python packages within the Kaggle Docker environment. Their commits included installing and testing dependencies like AllenNLP, Albumentations, Pycrypto, EasyOCR, ONNX, and Timm. This involved modifying test files and build processes to ensure proper functionality and compatibility. They also made updates to the `kaggle_gcp` integration within the Docker image and set up necessary configurations.
Open Collective's API. A GraphQL API powered by Sequelize and PostgreSQL.
Role in this project:
Back-end Developer
Contributions:151 commits, 2 comments in 4 months
Contributions summary:Philippe's contributions primarily involved the development and testing of the Open Collective API. They wrote tests for the /status endpoint and implemented model schema, including user, group, transaction, and activity models. Furthermore, the user added routes for users and authentication while implementing the necessary error handling. The user also added some code for stripe integration.
apigraphql-apisequelizeapi-snodejs
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