Martin Perier--Dulhoste

Martin Perier-Dulhoste has a diverse work experience in the field of technology and software engineering, with roles in various companies and positions.

Martin started their career as an intern at SAGEM DEFENSE SECURITE in 2015, where they gained practical experience in the industry.

Following that, they worked as an oral examiner at the Ministère en charge de l'enseignement supérieur et de la recherche in France for several months.

In 2016, Martin undertook a software engineering internship at VICTOR & CHARLES, where they developed an ETL in Java and supported the COO.

From 2017 to 2018, they worked as an Agile Web Developer at Theodo, contributing to the development of tailored software solutions for various clients.

In 2018, Martin joined Collective Thinking as a Research Engineer in the field of Natural Language Processing. Martin designed and productionized multimodal deep learning models, optimized input pipelines using Tensorflow features, and introduced coding standards for better workflow organization.

Their most recent position is at InstaDeep Ltd, where they have been working since 2020. Initially, they served as a Machine Learning Engineer in the BioAI Department, involved in tasks such as binding affinity and antigen presentation prediction. Subsequently, they became a Team Lead, responsible for leading a team and overseeing the development of an ML framework built on Tensorflow 2.x.

Throughout their career, Martin Perier-Dulhoste has showcased their expertise in machine learning, software engineering, and web development, contributing to the advancement of technology in diverse industry sectors.

Martin Perier-Dulhoste completed their education as follows:

- From 2012 to 2013, they attended CPGE Lycée Buffon in Paris 15e, where they obtained a degree in MPSI.

- From 2013 to 2014, they studied at CPGE Lycée Saint Louis in Paris 6e and was awarded a degree in PSI*.

- From 2014 to 2017, they attended CentraleSupélec and completed the Supélec Engineering Program.

- In 2016 and 2017, they pursued a Master's degree in Applied Mathematics at Imperial College London.

Additionally, Martin Perier-Dulhoste obtained several certifications outside of their formal education, including:

- "Neural Networks and Deep Learning" from Coursera in December 2017.

- "Structuring Machine Learning Projects" from Coursera in January 2018.

- "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in January 2018.

- "Natural Language Processing Nanodegree" from Udacity in April 2020.

- "Introduction to Machine Learning in Production" from Coursera in May 2021.

- "Machine Learning Data Lifecycle in Production" from Coursera in June 2021.