About Thomas
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Experience
- PipelexFounding AI EngineerTECHDecember 2024 - Today (1 year and 6 months)Paris, France[ENG BELOW]Pipelex is anopen-source (https://github.com/Pipelex/pipelex)**Python** library and the open standard dev tool for buildingrepeatable AI workflows.At Pipelex, I am one ofthe creators of the core technologyand a core maintainer of the project.I alsodesigned, deployed, and scaled the https://app.pipelex.cominfrastructure and web application — using Terraform for the infrastructure and Next.js for the web app, deployed on Vercel.I am an expert in AI tooling: best practices to scale teams with AI, achieve 10× productivity, and leverage state-of-the-art AI tools.I have designed and engineered end-to-end AI processes, including optimization strategies, prompt engineering, and large-scale deployment.----------------------------------------------------------------------Pipelex is anopen-source (https://github.com/Pipelex/pipelex)**Python** library and the open standard dev tool for buildingrepeatable AI workflows.At Pipelex, I am one ofthe creators of the core technologyand a core maintainer of the project.I alsodesigned, deployed, and scaled the https://app.pipelex.cominfrastructure and web application — using Terraform for the infrastructure and Next.js for the web app, deployed on Vercel.I am an expert in AI tooling: best practices to scale teams with AI, achieve 10× productivity, and leverage state-of-the-art AI tools.I have designed and engineered end-to-end AI processes, including optimization strategies, prompt engineering, and large-scale deployment.
- HelloFreshData EngineerE-COMMERCEJanuary 2022 - June 2023 (1 year and 5 months)Copenhague, Denmark[ENGLISH BELOW]Tools used: dbt, Airflow, Python- Optimized and standardized Airflow analytics data workflows, increasing analyst productivity by 20% and reducing data errors by 90%.- Designed and built scalable data pipelines and a widely adopted internal Python package, improving data reliability, maintainability, and development speed.- Worked closely with product and operations teams to deliver high-impact data solutions aligned with OKRs and business objectives.------------------------------------------------------Tools used:dbt, Airflow, Python- Optimized and standardizedAirflowanalytics data workflows, increasing analyst productivity by 20% and reducing data errors by 90%.- Designed and built scalable data pipelines and a widely adopted internalPythonpackage, improving data reliability, maintainability, and development speed.- Worked closely with product and operations teams to deliver high-impact data solutions aligned with OKRs and business objectives.
- BloomflowData EngineerSOFTWARE PUBLISHINGJanuary 2022 - January 2023 (1 year)Paris, France[ENGLISH BELOW]- Implementeddbt workflowsas part of a web application restructuring project, increasing analytics module usage by 50% and improving data consistency.Significantly improved data quality through rigorous testing and built-in quality controls within data workflows.Led and monitored data workflows in production usingAirflow, ensuring reliable and smooth operations.Designed and delivered user-centric data dashboards, substantially enhancing user experience and the relevance of analytical insights.--------- Implementeddbt workflowsas part of a web application restructuring project, increasing analytics module usage by 50% and improving data consistency.Significantly improved data quality through rigorous testing and built-in quality controls within data workflows.Led and monitored data workflows in production usingAirflow, ensuring reliable and smooth operations.Designed and delivered user-centric data dashboards, substantially enhancing user experience and the relevance of analytical insights.
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Education
- Master Computer ScienceÉcole Centrale de Lyon2022Master Computer science
- Master Computer ScienceDenmark Technical University