Work experience

Machine Learning Engineer & Software Engineer

Tadaweb, Luxembourg - November 2018 > Now

Help to develop tools and solutions for the Machine Learning team (Vision and NLP projects), conducts researches for Vision projects using PyTorch and FastAI, and help production team to build, test, and deploy microservices (written in Go) in the cloud (Docker, k8s).
Write production-level code (Python, C, Go) to integrate ML projects in Tadaweb’s core code and existing architecture.

Data Scientist & Software Developer

Dernier Cri, Lille (France) - April 2018 > November 2018

Conducted R&D activities for startups and big companies (machine learning and big data), and applied research theories, principles, and practical models to solve R&D problems on numerical and textual data (using Python and many other libraries like scikit-lean, statsmodel or pandas).
Worked in parallel also on Django and React-Native projects for startups and big companies, and pushed in production my own projects.

Assistant Professor

University of Luxembourg, Luxembourg - September 2017 > December 2017

Teached SQL, NoSQL, probabilties/statistics and machine learning to Bachelor students.

Research and Development Engineer

Dernier Cri, Lille (France) - October 2016 > April 2017

Conducted R&D activities for startups and big companies (machine learning and big data), and applied research theories, principles, and practical models to solve R&D problems on numerical data only (using Python and many other libraries like scikit-lean, statsmodel or pandas).

Research and Development Engineer

UQÀM (LATECE team), Montréal (Canada) - March 2016 > August 2016

Developed tools and made several software experiments to build a strong open protocol to measure the energy consumption of Android devices and evaluate code smells impact on them.
First author of a research paper, submitted and accepted to SANER 2017

Publications

• Official reviewer of “Mastering Rust”, by Vesa Kaihlavirta
  Packt Pub, May 2017.
• First author of “Investigating the Energy Impact of Android Smells”
  Published at the 24th IEEE International Conference on Software Analysis, Evolution and Reengineering, February 2017, Kla-genfurt, Austria.
• Second author of “A Learning Algorithm for Change Impact Prediction”
  Published at the 5th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, May 2016,Austin, United States.
• First author of “Energy consumption saving on Android applications”
  Master thesis, supervised by Giuseppe Lipari, Professor of Computer Science at University of Lille.

Conferences

• “Machine Learning” is not ‘Black Magic’"
  TakeOff Conferences, Lille - May 2018.
• “Why You Should Take a Look at Rust”
  FOSDEM, Belgium - February 2018.
• … and many talks in tech meetups :)