Grégoire Guemas

Machine Learning Engineer at Freelance

Saint-Nazaire, Pays de la Loire, France
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Summary

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Grégoire Guemas is a Machine Learning Engineer with 11 years of experience building and operationalizing data science applications, currently bringing ML models to production at Weborama using Kubernetes and Google Cloud. He blends hands-on ML (logistic regression, Word2Vec, Transformers/BERT) with solid big-data and backend expertise (Spark, HBase, Couchbase, Redis, Java, Python). Formerly an MLops engineer and long-time mentor at OpenClassrooms, he pairs infrastructure skills—GPU enablement, autoscaling with Prometheus, Ray proofs of concept—with teaching experience in Kubernetes and Python. He also contributes to open-source quality by improving test suites for notable projects like node-youtube-dl, showing attention to reliability and reproducible behavior. Based in Saint-Nazaire, he prefers direct product engineering roles over consulting engagements and is comfortable spanning the stack from data pipelines to production orchestration.
code10 years of coding experience
job3 years of employment as a software developer
bookEpitech
bookBaccalauréat, S, Baccalauréat, S at Lycée Notre Dame de Rezé
bookCertificate in IT, IT, Certificate in IT, IT at Laval University
bookEpita Teaching And Coaching, Epita Teaching And Coaching at EPITA: Ingénierie Informatique
languagesEnglish, Spanish
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Stackoverflow

Stats
161reputation
7kreached
3answers
4questions
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Github Skills (13)

testing10
nodejs10
javascript10
automations8
automation8
apache-spark6
prometheus6
grafana6
amazon-emr6
hadoop6
spark-streaming6
metric6
java6

Programming languages (8)

TypeScriptJavaC++ScalaJavaScriptPHPHTMLJupyter Notebook

Github contributions (5)

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youtube-dl driver for node
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:5 commits, 1 PR in 1 day
Contributions summary:Grégoire primarily focused on maintaining and updating the test suite for the `node-youtube-dl` library. They modified existing tests, including correcting video information for Twitch clips, removing irrelevant size assertions, and correcting playlist tests. Additionally, the user disabled a non-functional test case, suggesting a focus on test reliability and accuracy. This work demonstrates an understanding of the library's functionality and how to effectively test it.
nodejsyoutubeyoutube-dl
navispeed/Citizen-API

Mar 2017 - Dec 2018

Contributions:3 PRs, 24 pushes, 2 branches in 1 year 9 months
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Grégoire Guemas - Machine Learning Engineer at Freelance