Curriculum Vitae

Education

Obtained in 2012 a Master of Science in Mathematics and Computer Science from Imperial College London with First Class honours.

Skills

Proficient in programming in C/C++, Haskell Rust and Python with experience using web frameworks like Wordpress, Django and Pelican as well as Machine Learning / Artificial Intelligence frameworks like Scikit-Learn or Tensorflow. Also knowledgeable in cloud technologies like Kubernetes or OpenShift; CI/CD tools like docker, Ansible or Nix and database technologies like PostgreSQL.

Languages

  • French - Native / C2
  • English - Native / C2
  • Polish - Native / C2
  • German - Intermediate / B2

Work experience

2022–2025 eekem Remote, France:

  • Consultant for Amadeus working on NoSQL middleware drivers for Couchbase, Redis and MongoDB.
  • Implementation of a high throughput asynchronous parallel driver for Redis based on hiredis capable of handling 10 000 requests per seconds per worker.
  • Migrating Couchbase middleware from pure C SDK to C++ SDK

2018–2022 Sertit Illkirch Graffenstaden, France:

  • Generalising AI models for remote sensing (processing satellite and aerial imagery) using Generative Adverserial Neural networks (GANs).
  • Creation a Django powered Software as a Service platform (SaaS) for automating disaster mapping (e.g. forest fires or floods) reducing map production time.
  • Implemention AI powered tool (using CNNs) for urban flood detection with radar imagery.

2015–2018 Amadeus Sophia-Antipolis, France:

  • Maintainance of C++ backends for Car Rental, Insurance and Cruise travel reservation systems.
  • Integration new providers into the travel reservation system.
  • Contribution to the migration of the travel reservation system from operating on IBM TPF mainframes to a distributed Linux-based microservice architecture resulting in easier to maintain systems.

2013–2015 IBM Hursley, United-Kingdom:

  • QA validation of mutiple releases of business analytics suites SPSS Modeler and SPSS Entity Analytics through test planning and executions.
  • Integration of SPSS products into IBM Bluemix cloud Platform as a Service (PaaS).

2012–2013 Université Catholique de Louvain Louvain-la-Neuve, Belgium:

  • Research and development of tools using machine learning enabled side-channel attacks against embedded devices and tools to protect against such attacks.

Personal projects

2025 Spotify playlist merging and filtering software as a service platform Created using Python (Django) and Bootstrap and deployed using Nix / NixOS, Sound Sifter is a tool to for crafting spotify playlists