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Work Experience
High Performance Computing Specialist
StradigiAI•  March 2019 - February 2021
• Shipped a Machine Learning platform components to High Performance Computing (HPC) environments. Support Re- searchers in the use of a DGX-1 to provide stronger computation capabilities • Provisioned infrastructure as code on AWS to deploy managed solutions (e.g. Elastic Kubernetes Service) critical to the platform workflow • Deployed Hashicorp’s Vault running in Google Kubernetes Engine on Google Cloud Platform, develop CI/CD pipelines by writing modular and maintainable pipeline scripts
Data Science Intern
Applied Materiels•  March 2018 - September 2018
• Worked on the full stack of Machine Learning (ML) and Data Science projects applied to the semiconductor industry; • Developed a package running classical ML and Deep Learning using Python for anomaly detection using sensor data for proactive maintenance on critical parts to avoid unplanned downtime • This package also performed computations in the company’s HPC environment inside a Singularity container using Slurm job scheduler
Data Developer Intern
Smile•  April 2017 - September 2017
• Contributed to an R&D project by developing an API exposing a specific set of queries to fetch data for visualization, R (OpenCPU package) was first used, then it was migrated to Python3 (Flask) later for smoother integration with the other components of the application; • Developed Data Analytics dashboards to monitor usage on a Truck driver application • First exposure to DevOps approaches with tools such containerization (Docker), Version Control (Git & GitLab) and Container Orchestration for release process improvements
Education
Université Lumiére (Lyon II)
Computer Science, MS•  September 2016 - September 2018
Machine Learning, Deep Learning, Parallel Computing, Manifold Learning, Mixture Models, Big Data Technologies, Busi- ness Intelligence, Data Mining, Relational Databases, Complexity, Object Oriented Programming, Operations Research.
Université Lumiére (Lyon II)
Decisional Informatics and Statistics, BS•  September 2013 - September 2016
Algorithmic Design, Python Programming, R programming, Calculus, Statistics, Linear Algebra, Inferential Statistics, Relational Database, Operations Research, Microeconomics, Industrial Organizations, Macroeconomics.