Robbe Sneyders is a Principal ML Engineer turned Office of the CTO at ML6 with nine years of experience building AI platforms for energy and energy-intensive industries. He combines hands-on machine learning engineering and delivery leadership—having progressed from ML Engineer to Head of Delivery and now shaping technical strategy for clients. An active open-source maintainer, he contributes to the popular Python API framework Connexion and has modernized Python code across projects like Apache Beam, helping port and clean up legacy Python 2 artifacts. Trained as a mechatronics and robotics engineer at KU Leuven with international coursework in operational research and spectral signatures, he brings a systems-minded approach to production ML. Known for pragmatic refactors and API-first thinking, he balances platform-level strategy with code-level craftsmanship to help organizations operationalize AI.
9 years of coding experience
4 years of employment as a software developer
Master of Science (M.Sc.) in Mechanical Engineering Mechatronics & Robotics, Master of Science (M.Sc.) in Mechanical Engineering Mechatronics & Robotics at KU Leuven
Athens Course: Operational Research Engineering, Athens Course: Operational Research Engineering at Instituto Politécnico de Lisboa
Athens Course: Specral Signatures - From Foods to Fuels Engineering, Athens Course: Specral Signatures - From Foods to Fuels Engineering at Universidad Politécnica de Madrid
Connexion is a modern Python web framework that makes spec-first and api-first development easy.
Role in this project:
Backend Developer
Contributions:26 releases, 268 reviews, 95 commits in 1 year 7 months
Contributions summary:Robbe primarily contributed to improving the import order within various Python files. They refactored and updated the codebase, fixing import orders using isort. Furthermore, they updated the aiohttp openapi_secure.yaml file to match the OA3 spec and added upper limits for dependency versions. They also made code changes related to cleaning up Python 2 artifacts.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:59 commits, 46 PRs, 217 comments in 1 year 1 month
Contributions summary:Robbe's contributions focused on refactoring and porting Python code within the Apache Beam project. This involved updating several Python SDK modules, including those related to coders, utils, and internal functions, to be compatible with Python 3. Furthermore, the user made adjustments to tests and examples, ensuring that existing functionality worked as expected across different Python versions. These changes involved adapting code to utilize Python 3's features and deprecating or removing legacy Python 2 code.
golangpythonstreaming-databeambatch
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