Summary
Sofian Medbouhi is a CTO with a decade of hands-on experience building data-driven, production-grade systems for startups and major financial institutions. He leads engineering at bsport, scaling a platform used across 30+ countries to manage clubs, bookings and a consumer marketplace, while earlier roles at BNP Paribas included building ML data pipelines, scalable scrapers and robust observability for hundreds of services. His background blends deep mathematical training (multiple masters in mathematics, probability and finance) with practical expertise in Python, Go, Kafka, Spark and containerized microservices. Sofian has co-founded a crypto algorithmic trading startup and implemented consensus-algorithm research in Go, reflecting both entrepreneurial grit and low-level systems curiosity. Comfortable moving between architecture, data science and DevOps, he favors theoretically grounded solutions to hard engineering problems. Based in France, he pairs rigorous academic foundations with product-focused execution to turn complex models into reliable, scalable platforms.
10 years of coding experience
3 years of employment as a software developer
Master in Engineering Informatics, Master in Engineering Informatics at CentraleSupélec
exDEA El Karoui - M2 Probabilités et finance Mention Big Data - Machine Learning, exDEA El Karoui - M2 Probabilités et finance Mention Big Data - Machine Learning at UPMC - Ecole Polytechnique
(DISTANCE LEARNING) M1 MAEF Mathématiques appliquées, (DISTANCE LEARNING) M1 MAEF Mathématiques appliquées at University of Paris I: Panthéon-Sorbonne
M1 Mathematics, M1 Mathematics at Pierre and Marie Curie University
(DISTANCE LEARNING) L3 MFA Mathématiques, (DISTANCE LEARNING) L3 MFA Mathématiques at Paris-Sud University (Paris XI)
Classe préparatoire aux grandes écoles - ECS, Classe préparatoire aux grandes écoles - ECS at Lycée Blaise Pascal
Master in Management Finance général, Master in Management Finance général at ESCP Business School