Emile Caron is a seasoned software leader and CTO with 12 years of experience building data-driven SaaS products from Paris, specializing in post-click optimization for Google Shopping. At Dataïads he leads development of a plug-and-play platform that increases conversion rates by over 15% through smarter, personalized landing pages and improved ad ROI. Previously he directed development at Reeport and has hands-on experience across backend engineering and data pipelines, including teaching a practical course on data pipelines. Emile contributes to open-source, notably improving MongoEngine’s core deletion and queryset logic to ensure data integrity with MongoDB. His engineering background is grounded in a generalist computer science degree from UTC and an international stint at Lodz University of Technology, reflecting both product leadership and low-level technical fluency. Colleagues describe him as someone who blends pragmatic engineering fixes with strategic product thinking to close the loop between analytics and revenue.
11 years of coding experience
7 years of employment as a software developer
Lodz University of Technology
Baccalauréat Filière scientifique spécialisation Mathématiques, Baccalauréat Filière scientifique spécialisation Mathématiques at Lycée Grand-air, la Baule
Ingénieur Généraliste département informatique, Ingénieur Généraliste département informatique at Université de Technologie de Compiègne (UTC)
A Python Object-Document-Mapper for working with MongoDB
Role in this project:
Back-end Developer
Contributions:10 commits, 3 PRs, 5 comments in 1 day
Contributions summary:Emile's contributions focused on fixing and improving the core functionality of the mongoengine library. They addressed issues related to cascade delete operations, specifically resolving a cycle issue and ensuring correct behavior in various scenarios. Their work involved modifying the `queryset/base.py` and `queryset/queryset.py` files, directly impacting how the library handles database interactions, references, and data deletion rules within a MongoDB environment. These modifications ensure data integrity and prevent unexpected behavior during object deletion.
Contributions:61 commits, 3 PRs, 50 pushes in 2 months
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