Thomas Rohée

Machine learning specialist

Montreal, Quebec
Github: Menerve

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Interested in computer science in general, I’m specializing in machine learning and programming.


Analytical developer

Logibec, October 2017 – Today

  • Development of a machine learning pipeline and infrastructure for the new of new AI solutions
  • Diffusion of machine learning knowledge inside the company
  • Bring technical knowledge to AI solutions development

Machine learning specialist

Datacratic/iPerceptions, Juin 2015 – September 2017

  • Responsible for online real-time bidding advertising campaign performance made through Datacratic RTB-Opt product. Making sure campaign managers get the best ROI possible by monitoring machine learning models performance on key metrics (Click-Through Rate, Cost Per Click, Cost Per Acquisition).
  • Continuously improving the campaign optimization in order to fill campaign managers needs: enable optimization on small campaigns. Improve the system C++ and Python technology stack in order to support new use cases and improve every day operations.
  • Development of a machine learning pipeline in Golang using Amazon AWS machine learning and Kubernetes to drive the new audience recognition technology.

Machine learning intern

Datacratic, September 2014 – January 2015

  • Research and development on application of neural networks for online real-­time bidding advertising problems. Namely, predict accurately the probability of click by the user given an ad impression.

Research assistant

MILA, University of Montreal, September 2013 – September 2014

  • Help develop a Python tool to ease comparisons between machine learning models and enable research for new models for the facial landmarks recognition task.
  • Contributions to Pylearn2, a MILA library to ease machine learning model training workflow, in the form of refactoring the codebase and improve logging.


Online courses

  • Functional Programming Principles in Scala (Coursera)
  • Principles of Reactive Programming (Coursera)
  • Machine Learning Engineer Nanodegree Program (Udacity)

Université de Montréal – Master of computer science

  • Foundation of machine learning
  • Machine learning algorithms
  • Quantum information science
  • Semantic of programming languages

SUPINFO International University – Bachelor of Science with Honours

Nantes, France and Montreal Quebec, Canada, 2009 - 2013

Computer Science and Information System.