About Patrick
French
Native or bilingual
English
Fluent
Experience
- EngieLead DataENERGY AND UTILITIESOctober 2025 - Today (8 months)Paris, FranceDesign and industrialization of real-time data pipelines for automated invoice processing in a native cloud Databricks environment.✔️ Creation of scalable ingestion pipelines integrating SAP systems and real-time data streams✔️ Development of Databricks Bronze/Silver processing layers with PySpark✔️ Standardization of invoice transformation according to a unified target nomenclature✔️ Improvement of the reliability and automation of financial data processing flows✔️ Collaboration within a dedicated engineering team, in an Agile/Scrum environment
- SCOR SEPalantir Foundry & Databricks EngineerBANKING AND INSURANCEDecember 2024 - October 2025 (10 months)Paris, FranceDesign and implementation of cloud data pipelines and interactive analysis solutions for reinsurance data processing and visualization.✔️ Design and implementation of scalable ingestion pipelines from relational databases to cloud environments✔️ Creation of Databricks Bronze/Silver data processing pipelines with PySpark and dbt✔️ Development of Gold business transformation pipelines within Palantir Foundry✔️ Integration of Key Performance Indicators (KPIs) and analytical metrics into operational workflows✔️ Creation of interactive dashboards and data applications with Foundry Workshop and Slate✔️ Contribution to architecture and data modeling decisions in a Scrum development environment
- eXplainData Science Project ManagerSOFTWARE PUBLISHINGJune 2019 - October 2024 (5 years and 4 months)Paris, FranceDevelopment and industrialization of AI, NLP, and LLM-based features for data-oriented products deployed on AWS.✔️ Design and integration of Natural Language Processing (NLP) and Generative AI (GenAI) features into production applications.✔️ Translation of business needs into scalable data science and AI solutions.✔️ Creation of prototypes and proofs of concept for complex document analysis use cases.✔️ Development of large-scale document processing and semantic search capabilities.✔️ Contribution to AI architecture, model evaluation, and deployment workflows.✔️ Collaboration with multiple Agile engineering teams in a product-oriented environment.**AI/ML Use Cases**:✔️ Question-answering systems on large document collections✔️ Automatic summarization and publication calendar generation✔️ Document de-duplication processes✔️ Named Entity Recognition (NER)✔️ Text classification and semantic analysis
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Education
- PhD in Computer Science, Computer ScienceUniversity of Bordeaux2017Docteur en Informatique, Informatique
- Engineer, Statistics, Data Mining, Big Data, Computer ScienceNational School of Statistics and Information Analysis2013Ingénieur, Statistique, Data Mining, Big Data, Informatique
Certifications
- Convolutional Neural NetworksCoursera2019