Graduated with first class honors at from Imperial College London in Mathematics and Computer Science. Published two scientific papers relating to applied machine learning and submitted one patent.

Over 20 years of experience in software development for Unix/Linux systems with experience in mathematics, statistics and artificial intelligence.

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.

Experiences

2022–2025 eekem Remote, France:

• Consultant for Amadeus working on NoSQL middle-ware 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 middle-ware 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 Adversarial 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.
• Implementation AI powered tool (using CNNs) for urban flood detection with radar imagery.

2015–2018 Amadeus Sophia-Antipolis, France:

• Maintenance 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 micro-service architecture resulting in easier to maintain systems.

2013–2015 IBM Hursley, United-Kingdom:

• QA validation of multiple 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.

Publications

2013 Proceedings of the Workshop on Embedded Systems Security Université Catholique de Louvain Protecting embedded device against power consumption based side channel attacks: Strong PUFs and their (physical) unpredictability: a case study with power PUFs

2014 Software Patent IBM U.S. Patent 9,582,263 on wearable technologies

2022 IEEE International Geoscience and Remote Sensing Symposium Sertit – Université de Strasbourg Application of GANs in training Convolutional Neural Networks for remote sensing: A STUDY ON GENERALIZING BUILDING EXTRACTION MODELS TO UNSEEN DATASETS USING SOURCE DOMAIN TRANSFER

Languages

French – Native / C2

English – Native / C2

Polish – Native / C2

German – Intermediate / B2