Hello I am ...

Full stack developer

Based in Paris, France

Former data Scientist 3+ years

PhD Mathematics, Masters Software Engineering

CV

Full-stack developer
Bouygues Telecom · Internship
Mar 2026 - Aug 2026 · 6 mos
Paris, France
- Led the complete modernization of a legacy dashboard platform using Next.js, React, TypeScript, Tailwind CSS, NestJS, and MongoDB.
- Migrated the application to a cloud infrastructure, improving scalability and reliability.
- Designed and enhanced reporting features to streamline report generation and improve operational efficiency.
Data scientist
Fonterra · Full-time
Sep 2023 - Jan 2025 · 1 yr 5 mos
Auckland, New Zealand
- Developed manufacturing schedule optimiser app using Gurobi, Julia, and Python to replace the existing suboptimal manual process. The optimiser is planned to be used daily over 28 sites across New Zealand helping to process about 16 billion litres of milk everyday. The app is estimated to save the company $3‑10M annually.
- Developed energy consumption prediction model using random forest regressor, Scikit‑Learn, Databricks, and MLflow. This resulted in saving the company $218K annually.
- Implemented an incremental-loading logic for a large output table which was being fully-loaded daily. My implementation reduced the daily computing time from over 90+ minutes to consistent 15 minutes which allowed the reporting to be made efficiently at a critical time for the stakeholder. The Databricks notebooks I developed for this project is now the standard template across the team for similar processes.
Data engineer
Luma Analytics · Full-time
Feb 2022 - Sep 2023 · 1 yr 8 mos
Auckland, New Zealand
- Developed robust and scalable ETL Data Factory pipelines and Databricks scripts to ingest nation wide streaming data to build several business‑critical tables. Some tables accumulated over 1M rows daily. The output allowed the stakeholder to make data‑informed decisions effectively.
- Developed efficient ETL Databricks scripts to migrate business‑critical tables from SQL DB and blob storage to Azure Data Lake and Synapse Analytics for NZ’s largest media company. This allowed the stakeholder to shift to a state of data maturity aligned with their technology goals.
- Led a team to standardise the naming convention across 30+ tables and updated all their 10+ data products for the stakeholder, improving data consistency and usability.
Mathematical research scientist
Market Economics · Full-time
Jan 2020 - Jan 2022 · 2 yr 1 mos
Auckland, New Zealand
- Developed an integrated nested Laplace approximation (INLA) model to predict wildfire behaviours in R. The output has been published in a peer‑reviewed journal.
- Developed regression models to predict regional economic activities in NZ. The output helped the regional council in making future decisions.