Freelancer profile translated to English.

Description

Consultant specialized in Generative AI, MLOps, and Data Cloud, with extensive experience in banking and large enterprise environments. I support organizations end-to-end: from the design to the industrialization of robust, scalable, and secure AI solutions, with a focus on creating business value and automating processes.

Technologies

Generative AI / NLP: LLM (Gemini, GPT), RAG, LangChain, Vector Search,

Hugging Face, Embeddings, Prompt Engineering

MLOps & CI/CD: Terraform, Airflow Composer, MLflow, Bitbucket Pipelines,

Docker, Kubeflow

Cloud & Data: GCP, BigQuery, Vertex AI, Azure, Python, SQL, Oracle

Industry field of expertise

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

BPCE Payments Services
Data Scientist
BANKING AND INSURANCE
October 2022 - Today (3 years and 10 months)
Charenton-le-Pont, France
Generative AI & Marketing Automation
Design and deployment of Generative AI solutions (LLM, RAG, GEMINI) to automate the creation of Marketing Flash News for banking institutions.
Implementation of an advanced RAG architecture (LangChain, Vector Search) to contextualize and improve response accuracy.
Optimization of Prompt Engineering and integration of LLM tools (function calling, tool use) for better performance.
Generative AI Chatbot & Decision Support
Development and deployment of a Generative AI chatbot based on RAG to guide users to the most relevant Power BI dashboards.
Anomaly Detection
Development and production deployment of time series models for anomaly detection on transactional data.
Use of BigQuery ML (ARIMA Plus) and Prophet (Python).

MLOps & Cloud Industrialization
Industrialization of AI solutions on Google Cloud Platform (GCP).
Implementation of CI/CD pipelines (Bitbucket Pipelines, XL Release).
Deployment of AI APIs (NLP / RAG) on Cloud Run, in multi-stage environments
(Bench, UAT, Production).
Implementation of advanced MLOps practices: DAG orchestration, continuous
monitoring, automated alerting, and dashboards.

Technical Skills
Generative AI / NLP: LLM (Gemini, GPT), RAG, LangChain, Vector Search,
Hugging Face, Embeddings, Prompt Engineering
MLOps & CI/CD: Terraform, Airflow Composer, MLflow, Bitbucket Pipelines,
Docker, Kubeflow
Cloud & Data: GCP, BigQuery, Vertex AI, Azure, Python, SQL, Oracle
Google Cloud RAG Python Oracle Vector Search
NEXIUS FINANCE
ESG Data Scientist
October 2021 - June 2022 (8 months)
The goal is to implement a methodology for ESG scoring of companies based on a Best-in-Class approach, which involves rating companies according to their ESG practices.
Product scoping and design
Identification of client needs Comparative study of data providers
Development phase
Portfolio statistical analysis Extraction of data from Azure blob storage and ETL with Azure Databricks Development of a tool with web scraping to extract the list of companies that have an ESG label Implementation of a rating model Technologies: Databricks, Azure, Python, Pyspark
October 2020 - October 2021
BPCE
Data Scientist
BANKING AND INSURANCE
October 2020 - October 2021 (1 year)
Extraction of data from different counterparties via Outlook (Python and Azure).
Use of NLP library for preprocessing textual data.
Transformation of data with TFIDF from NLP. Recommendation algorithm for titles.