Full Stack / Backend / AI / Data Developer

I evolve the V2 sales forecasting application by adding interactive business supply features. I develop AI agents in Snowflake, OCR pipelines, and customer-review analysis workflows using clustering and decision trees.

I create and maintain Node.js and Express production APIs exposed through Gravitee and deployed on GKE with Helm. I also maintain dbt data flows, data models, Terraform infrastructure, and application observability through Grafana metrics, logs, alerts, and API monitoring.

I created and maintained production APIs, including greenfield and legacy services, using Node.js, Express.js, Git, CI/CD, Helm, and GCP/GKE. I managed API exposure, monitoring, and governance through Gravitee and Grafana.

I built and maintained data flows with dbt, Snowflake, and Airflow. I also developed an automated and monitored sales forecasting model using LightGBM, with a Streamlit interface for consultation and adjustment.

I developed applications and APIs with FastAPI and PostgreSQL, deployed on Azure through Azure Functions and containers. I implemented authentication and security using Keycloak and OAuth2.

I initiated API management with Gravitee, customized the Odoo ERP, integrated partner data flows into the Akeneo PIM, and designed product data models. I also developed and maintained JavaScript application scripts and contributed to business-oriented application architecture.

I developed backend and frontend features for a production application used to manage customs import and export processes. The stack included Airflow, Scrapy, FastAPI, and Vue.js.

I designed and orchestrated a custom ETL pipeline that scraped regulatory sources, transformed collected data, exposed it through APIs, and included monitoring capabilities.

I migrated Python scripts into scalable data pipelines, first with PySpark and then with dbt and Snowpark on Snowflake. I supported the modernization of data-processing workflows for production use.

I used constrained optimization with QR-Tools for product-range selection and created a Streamlit application for product-coverage analysis. I also applied clustering to define store assortments.

I worked as a nurse in France and Quebec across emergency, resuscitation, general medicine, SSR, neurology, rehabilitation, and severe head-trauma care settings.

This experience developed my ability to work in high-pressure environments, collaborate with multidisciplinary teams, and manage complex operational situations.

Completed the Simplon HDF 2021 program in artificial intelligence development. Projects were mainly deployed on Azure using training credits, building practical mastery of the Microsoft Azure environment.