Christopher has 20 years of experience in Machine Learning both in the academy and in the industry. He graduated from ENSIIE and holds a Ph.D. in Computer Science from Université de Lyon-Saint-Etienne.
Bastien is specialised in backend development using open-source stacks and DevOps tools. He holds a M.Eng. in Computer Science from Ecole Nationale d’Ingénieurs de Brest.
Mélodie is specialised in Deep Learning for document processing.
She holds a Master in Information Systems Architectures from INSA de Rouen-Normandie, a Master in Data Science and Engineering from Université de Rouen-Normandie. She received a Ph.D. in Computer Science from Université de Rouen-Normandie in collaboration with the LITIS lab.
Valentin holds a M.Eng. in computer science from INP-ENSEEIHT.
He is specialized in backend development (Python), but also contributes to frontend interfaces.
He loves free software ecosystem, nature and rock climbing.
Manon holds a Master in Engineering from École Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble (ENSIMAG). She is specialized in backend/frontend development.
After a 5-month internship at Teklia that allowed her to validate her engineering degree, she was welcomed to join the team as a Software Engineer. She is specialized in backend/frontend development.
Eva holds a Higher National Diploma in Computer Science from Université Grenoble-Alpes and an Engineering Degree in Computer Networks and Multimedia Communication from Polytech Grenoble Engineering school.
Yoann holds a Master in Engineering from École Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble (ENSIMAG). He is specialized in software development for Machine Learning.
Thibault holds an engineering degree from Institut Supérieur d'Informatique, de Modélisation et de leurs Applications (ISIMA) in Clermont-Ferrand.
Before joining TEKLIA, he was system administrator in a document management company.
During her Ph.D. with IRISA, she focused on Deep Learning for historical document understanding. At TEKLIA, she is developing new methods for handwriting recognition on historical and modern documents.
We warmly thank all our previous collaborators who have greatly helped Teklia grow over the years: