Abdelkader Kouhli
Founder & AI Expert at European Patent Office
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAbdelkader Kouhli is a founder and AI expert based in Paris with over a decade of hands-on experience designing and shipping production-grade ML systems and platforms. He has led teams and migrations to cloud-native ML stacks (Vertex AI, Kubeflow, GCP) while building CV and NLP solutions, recommendation engines, and scalable data platforms across startups and enterprises. As founder of AI Switch he combines strategy, MLOps and engineering to deliver bespoke AI products, and his background includes leading predictive teams and large cloud migrations at Tinyclues and the European Patent Office. He contributes to open-source data tooling—fixing integration and testing issues in dbt-core—underscoring a pragmatic focus on reliability and developer workflows. Known for translating research into operational systems, he pairs statistical rigour from an ENSAI engineering degree with product-minded delivery.
10 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) equivalent (Engineering degree) Statistics and Computer Science, Master of Science (MSc) equivalent (Engineering degree) Statistics and Computer Science at ENSAIPost-secondary preparatory classes Major: Mathematics and Physics, Post-secondary preparatory classes Major: Mathematics and Physics at Lycée Condorcet
French, English, Arabic, Spanish
Github Skills (8)
data-modeling10
test-integration10
python10
dbt10
integration-testing10
analytics9
sql8
postgresql8
Programming languages (3)
Github contributions (5)
dbt-labs/dbt-core
Sep 2021 - Aug 2022
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
Data Engineer
Data EngineerContributions:1 review, 7 commits, 9 PRs in 10 months
Contributions summary:Abdelkader primarily contributes to testing and fixing integration issues related to dbt-core. Their commits involve modifying Python files, specifically focusing on testing aspects like snapshotting, source freshness, and documentation generation. They also worked on integrating new features such as nullable `error_after` in sources, showing expertise in dbt's internal workings, and the management of data modeling and transformation processes. The user also contributes to init and defer features, demonstrating involvement in project setup and workflow optimization.
analyticsdbt-viewpointtransformanalystssql
kadero/dbt
Sep 2021 - Jul 2022
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Contributions:41 pushes, 7 branches in 10 months
analytics-engineeringdatawarehousedbt-packagestransformanalysts
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