Thomas Rohée

Machine learning specialist

Montreal, Quebec
Email: roheethomas@gmail.com
Linkedin: linkedin.com/in/roheethomas
Github: Menerve

PDF version

About

Several years of development experience during which I contributed to the development of machine learning models and related applications as well as the creation of pipelines. I also supervised interns. The projects to which I contributed: real-time bidding optimization system to display the best digital impression, prediction of the risk of patient readmission and the associated web application, as well as the development of a model for predicting the risk of out of stock items in a healthcare organization.

Key skills : Python, Node.js, Scala with the help of Bash, SQL, Databricks and React, Flask for SaaS application development. Project deployment: GoCD, Jenkins, Azure Devops, AKS and EKS. Project management : Scrum method and Jira, Git and Confluence.

Experience

AI Developer

Logibec, October 2017 – October 2022

Development of proof of concepts of machine learning and optimizations models in collaboration with product teams in order to solve business needs.

  • Developed a machine learning model able to predict the probability of stock out of a submitted order from an healthcare organization in order to optimize orders and limit late deliveries. Used Python, Databricks on Azure, Scikit-learn and Kedro.
  • Developed shared tools used by Logibec's products enabling features like single sign on, multi tenant, and SaaS on a cloud environment. Developed in Java with Spring Boot on Microsoft Azure.
  • Developed a machine learning pipeline supporting a new application predicting the risk of patients’ readmission before being discharged from the hospital. The application technology stack involved Apache Spark with Scala, Postgresql, Python, Flask, and Scikit-learn.
  • Involved in grant applications and coordination between Logibec, clients and academic researchers in order to get federal and provincial public funding for new machine learning projects relevant for healthcare organizations.
  • Managed machine learning interns from Mila who were responsible for analyzing data and developing new models relevant for the clients.

Machine learning specialist

Datacratic/iPerceptions, June 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).

  • Ensured continuous improvement of the campaign optimization system in order to fit campaign managers needs: enable optimization on small campaigns.
  • Improved the system C++ and Python technology stack in order to support new use cases and improve every day operations.
  • Developed 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.

Education

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

Courses:
  • 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.