Hermes Martinez

Hermes Martinez's work experience begins in 2015 when they worked as a Data Scientist at the Centre Population et Développement in Paris. This role lasted from June to August of that year.

In November 2015, they joined Semantiweb, webedia.fr Paris as a Computational Linguist. During their time there, they focused on tasks such as constructing SQL databases for French social media user comments, optimizing regex engines for keyword parsing, programming neural networks for comment classification and sentiment analysis, and developing minimal regex parsing tools for social media comments. Hermes worked in this role until May 2016.

After that, in February 2018, Martinez became an NLP Scientist at Nimley. Hermes stayed in this position until August of the same year.

In September 2018, Martinez moved on to nam.R, where they worked as a Data Scientist specializing in Natural Language Processing (NLP). This role lasted until July 2022.

Most recently, Martinez joined Yassir in October 2022 as an MLOps Engineer. The end date for this role is currently unknown.

Hermes Martinez completed a Master 2 degree in Linguistique Informatique (Computer Linguistics) at Université Paris Cité from 2017 to 2018. Prior to that, they obtained a Master 1 degree in Linguistique Informatique from the same university from 2016 to 2017. Hermes also completed a Licence 3 degree in Linguistique Informatique from Université Paris Cité from 2014 to 2015. Before their studies in Paris, Hermes obtained a Licence / Master degree in Langues Modernes Etudes Anglophones, Spécialité Entreprises (Anglais des Affaires) (Modern Languages English Studies, Business Specialty) from Universidad Arturo Michelena from 2004 to 2009.

In addition to their formal education, they have also obtained several certifications. Hermes completed courses such as "Docker Deep Dive" and "LXC/LXD Deep Dive" at A Cloud Guru in January 2021. Hermes also completed courses such as "Sequence Models for Time Series and Natural Language Processing," "Production Machine Learning Systems," and "End-to-End Machine Learning with TensorFlow on GCP" on Coursera in 2020.

Overall, Hermes Martinez has a strong academic background in linguistics and computer science, with a focus on linguistics in the context of computer applications.