Summary
Geoffrey Glangine is a developer and specialist in optimization and AI with 12 years of experience applying mathematical optimization to real-world logistics and network challenges. He has led large-scale algorithmic work for parcel routing (300k–650k daily deliveries) and currently drives optimization and AI initiatives at Intelcom/Dragonfly. With a Master’s in Mathematical Optimization and AI and research experience at Rio Tinto, he blends rigorous operational-research modeling with production software engineering and full-stack architecture. He has taught networking, databases, and advanced programming at college and university levels, reflecting strong communication skills and a knack for translating theory to practice. Notably, his background spans both nation-scale network engineering projects and high-throughput e-commerce scaling events like Black Friday, giving him rare cross-domain depth across networks, optimization, and systems.
12 years of coding experience
3 years of employment as a software developer
Research assistant, Mathematical computing and operational research, Research assistant, Mathematical computing and operational research at Université du Québec à Chicoutimi
College degree, Informatique, College degree, Informatique at Cégep de Matane
Engineer's degree, Informatique, Engineer's degree, Informatique at Université de Technologie de Belfort-Montbéliard
DUT (Diplôme Universitaire de technologie), Informatique, major of promotion, DUT (Diplôme Universitaire de technologie), Informatique, major of promotion at Université de Franche-Comté
French, English, Spanish