I am an AI, backend, and data engineer with five years of experience building production systems using Python, FastAPI, Node.js, dbt, Snowflake, Airflow, and PySpark.
I build reliable APIs, data pipelines, cloud automation, and applied AI solutions. My experience includes forecasting, AI agents, OCR pipelines, clustering, and customer-review analysis.
I have delivered backend and data platforms across retail, circular economy, product data, and customs domains. I enjoy taking complex or fragile systems and turning them into scalable, maintainable production solutions.
I work hands-on with GCP, Azure, Kubernetes, Docker, Terraform, CI/CD, Snowflake, and modern data tooling. I am comfortable owning solutions from architecture and implementation through deployment and monitoring.
I am self-taught with an atypical professional background and work autonomously. I also enjoy sharing knowledge through Azure and Python training, as well as public speaking on career transitions, data, and AI.
Migrated fragile Python scripts into scalable data pipelines using PySpark and later dbt/Snowpark on Snowflake. Built FastAPI supporting services and applied clustering to define store assortments.
Developed constrained optimization workflows with OR-Tools to select product ranges and created a Streamlit application for coverage analysis.
Delivered the backend and data components of a circular-economy platform for appliance traceability and resale. Built applications and APIs with FastAPI and PostgreSQL.
Deployed services on Azure and implemented authentication and security features. Customized Odoo ERP integrations and connected partner data flows through Akeneo PIM while designing product data models.
Evolved a sales forecasting solution to version two using LightGBM, dbt, and Streamlit, enabling business users to consult and adjust forecasts interactively.
Built AI agents in Snowflake, OCR pipelines, and customer-review analysis workflows. Continued development of Node.js and Express production APIs deployed on GKE with Helm, while creating Terraform templates and CI/CD workflows for GCP databases and SFTP.
Built and maintained production APIs, including new and legacy services, with Node.js and Express. Deployed services to Kubernetes on GKE using Helm and CI/CD pipelines.
Created dbt pipelines on Snowflake used by multiple business teams and launched the first sales forecasting model with a Streamlit interface.
Developed a production application for managing customs import and export processes using Airflow, Scrapy, FastAPI, and Vue.js.
Built and orchestrated a custom ETL pipeline that scraped public regulatory sources, transformed data, and exposed it through monitored APIs with recovery capabilities.
Delivered Azure and Python training for learners and clients.
Developed and tested a client management application.
Artificial Intelligence Developer (RNCP-37827), Artificial Intelligence
Artificial Intelligence Developer certification, RNCP-37827.
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