Summary
Amosse Edouard is a research-driven software engineer with a PhD in computer science and a decade of experience building ML- and data-focused solutions for mobility and short-text analysis. He combines expertise in NLP, Linked Open Data and machine learning—ranging from supervised to unsupervised methods—to detect and track events in social media and produce competitive short-text classifiers. Currently at INSTANT System he architects ticketing and mobility analytics solutions leveraging NFC, QR and BI to inform operational decision-making. His background spans academia (Inria, Université Côte d'Azur) and industry roles where he led mobile and web projects, taught mobile development, and designed spatio-temporal analysis pipelines. Comfortable bridging research and production, he brings both algorithmic depth and hands-on engineering across Android, server-side systems and data platforms.
10 years of coding experience
11 years of employment as a software developer
Docteur en Sciences Informatique, Docteur en Sciences Informatique at Université Côte d'Azur
Bacc+5 Genie, Bacc+5 Genie at Faculty of Sciences University State of Haiti
French, English, Haitian Creole