Curriculum Vitae

Tech lead and product-minded engineer with a strong focus on data and an interest in climate change

A shorter version of this résumé is available in PDF format here.

Professional experience

Tech lead

Xeneta

2020 - now

Responsible for the technical direction of one of Xeneta’s products. I mentor and coach other developers, and manage the team’s projects.

Built a new data pipeline from the ground up using Snowflake and dbt, which brought a reprocessing job from a week to 3 hours while making it more maintainable, observable, and consolidating our validation and transformation rules.

I’ve also contributed to the AI enablement initiative: hosting workshops, building and maintaining Claude skills, and experimenting with our agile processes to work better with the changes that AI brings. Notable Claude skills I’ve built: a general-purpose dbt modeling skill that can detect and troubleshoot incremental models drifting from their full-refresh output, and a data science investigation skill to help data scientists benefit from Claude’s speed without losing reliability.

Roles:

2020-2022: mid-level software engineer, in a product team
2023: senior software engineer, in the data science team
2024 onward: tech lead in a product team

Oslo, Norway 🇳🇴

Ph.D. in Computer Science (unfinished)

Laboratoire Informatique de Grenoble

2016 - 2020

Research on query optimization in DBMSs, specifically on the cardinality estimation component.

The idea is to gather statistics during query execution, to detect predicates or combinations of predicates that induce large cardinality estimation errors, and, when possible, adjust future estimates, to get more reliable cost estimates for query execution plans.

Experiments were made with PostgreSQL, as a C extension and a patch for features that were not doable as an extension, along with some Python scripts.

The Ph.D. was left unfinished when the project ran out of funding.

Grenoble, France 🇫🇷

Skills

You can also take a look at my Github profile.

Programming languages

Python: used at Xeneta, during my studies, and for personal projects
Notable libs: Flask, Pandas, Polars, Seaborn, Plotly, SQLAlchemy, Pytest
SQL: used a lot during my PhD and at Xeneta, where I have a strong data engineering and data quality focus
C: wrote an extension to PostgreSQL in C for my PhD, dug a lot in PostgreSQL's source code to understand it
Rust: learning it through personal projects
Notable libs: Axum, sqlx

Data engineering

Snowflake with dbt: architected and built ELT pipelines, along with data quality monitoring and alerting tools
PostgreSQL: studied its internals extensively for my PhD, particularly the query planner. Organized upgrade from 9.6 to 13 at Xeneta

Infrastructure and operations

Docker used extensively, both professionally and for personal projects
AWS with Terraform: used extensively at Xeneta, mainly ECS, Lambda, Batch, Step Functions
CI/CD: Gitlab CI used for personal projects, Github Actions and Jenkins at Xeneta

Projects

Home lab: Debian server running a lot of services, all orchestrated with Docker Compose: Traefik as a reverse-proxy, email server (Mailu), Gitlab, Nextcloud, Grafana stack, and various websites
pg_venv: a tool in Python to easily compile and run multiple versions of PostgreSQL in isolated environments. See here
pg_explain_lexer: syntax highlighting for PostgreSQL’s query plans. See here
Trainlog: I contribute to a project that has ~200 daily active users, mainly on infra: dockerization, dev and prod environments, migration from SQLite to PostgreSQL, and occasional troubleshooting. See here

Languages

French: mother tongue
English: fluent. Maximum score (990/990) achieved at TOEIC
Spanish: intermediate, studied for 5 years

Previous experiences

Research internship in machine learning

National Institute of Informatics of Japan

2015

6-months research internship in artificial intelligence, deep learning, data mining

Analysis of the behaviour of drivers to automatically generate driving rules to be followed by autonomous vehicles, using dimensionality reduction (stacked denoising autoencoders) and cluster analysis (k-means).

Tokyo, Japan 🇯🇵

Google Summer of Code with a PostgreSQL library

Google Summer of Code

Summer 2014

The Google Summer of Code is a program led by Google, which consists in paying students to work on Open Source projects.

During this project, I implemented the k-medoids algorithm in MADlib, a machine-learning library for PostgreSQL.

Intern software developer

Airbus

Summer 2012

Development of a KPI generation application for an aircraft quality service

During this internship, I developped an application for the team in charge of the Configuration Control of the A330 aircraft. The purpose of this team is to produce the Aircraft Inspection Report (AIR) of the planes from the factory, which are documents describing in great detail all the components and all the modifications made on a plane.

The goal of this internship was to figure out the Key Performance Indicators of the team, and to generate them automatically. All the computers of the team using Windows, I developed an Access application to populate, store and process the data, and this application generates Excel charts.

I also proposed a data model coherent with their activity; before my internship, the data was input by everyone in a different way, not normalised, or some fields were left blank. The data model I provided, as well as the application exploiting it, allowed them to solve these three problems.

Toulouse, France 🇫🇷

Education

Master's degree in Computer Science

ENSEEIHT

2012 - 2015

French engineering degree in Computer Science, in a grande école (engineering school).

I did one exchange semester in Tomsk Polytechnic University, and an internship at the National Institute of Informatics of Japan.

Toulouse, France 🇫🇷 — Tomsk, Russia 🇷🇺 — Tokyo, Japan 🇯🇵

Computer Science HND

IUT Informatique de Bordeaux

2010 - 2012

2-year computer science degree with a focus on practical courses

Bordeaux, France 🇫🇷