Freelancer profile translated to English.

Description

Project Manager and Technical Architect, with thirty years of experience as a consultant, project manager, trainer.

Since 2016 on Data, Data-centric, No-Sql, Big Data, Small Data, EDA, Machine Learning, Deep Learning, Generative AI (2023) issues.

In 2021/2023 Focus on Data Catalogs: Data Galaxy, Open Meta Data

In 2023, 2024, 2025 on Generative AI and Chat GPT cf

Expertise in middleware, Java J2EE, semantic web. UML. Distributed computing: Hadoop / Pig, Hive, Spark. NoSQL: MongoDB (3 Mooc Mongo certificates), Cassandra. Statistical Learning.

In various sectors: services, industry, software publishers, IT consulting firms, public sector.

Participation in ICML 2015 early July in Lille, NIPS 2015 and 2018 Montreal

(International Conference on Machine Learning), Warsaw Summer school on DL

Successful completion of BerkeleyX Mooc on Spark (June-July 2015)

At ICCV 2023 in Paris. On Computer Vision and Multi-modal Models.

Best regards

Bruno

Industry field of expertise

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Boulogne-Billancourt (up to 10km), Nantes (up to 10km), Vannes (up to 10km)

META-AI
Data Consultant
BANKING AND INSURANCE
April 2025 - Today (1 year and 2 months)
Optimization and data pipeline redesign mission. Energy sector.
PostgresSQL database, Windows system.
POC Open Meta Data, Vanna.ai, QDrant, ollama

For an investment bank, RAG Expert, Langchain, Langgraph, Langfuse, PgVector
Generative AI Python Programming Data Engineer
CRIGEN (Engie)
Energy Sector R&D
July 2022 - August 2023 (1 year and 1 month)
• Role: Data Engineer, Data Quality Missions: Ingestion of tabular and textual data. Data Quality.
Technical environment: Kubernetes clusters, Kubeflow, Data Catalog (Datahub, OpenMetaData), Jupyter notebooks, PySpark, Dataiku-DSS, dvc. Collibra, Data Galaxy.
LE POINT
Data Engineer
January 2022 - March 2022 (2 months)
Missions: Digital Marketing data audit, Data Governance, Data Quality.
Technical environment: Alteryx, Tableau, Dremio, Hadoop HDP on GCP cloud. Maria-DB stored procedures.