Djavan Sergent is a software developer with nearly a decade of hands-on IT experience and over four years focused on applied ML/DL for image-based anti-counterfeiting solutions at the University of Geneva. He designs end-to-end computer vision pipelines—ranging from data acquisition and CNN/ResNet/GAN/ViT model training to deployment with Flask, NGINX, Gunicorn, Redis and TensorFlow—bringing production-grade Linux expertise to secure, reliable environments. His background as a CCNA instructor and teaching assistant in server and security topics complements his research-driven engineering, enabling him to translate academic innovations into industrial demos validated on broad image corpora. Now at GSInformatique SA, he continues to blend systems-level tooling with deep learning to tackle real-world verification problems, and he is known for solving one-class classification challenges where the original artwork is unknown.
9 years of coding experience
Certificat fédéral de capacité (CFC), Informatique, 6/6, Certificat fédéral de capacité (CFC), Informatique, 6/6 at CFP-T
Bachelor of Science (B.S.), Informatique de gestion, 6/6, Bachelor of Science (B.S.), Informatique de gestion, 6/6 at Haute école de gestion de Genève
Master of Science (M.S.), Sciences informatiques, 6/6, Master of Science (M.S.), Sciences informatiques, 6/6 at Université de Genève
Contributions:4 PRs, 52 pushes, 5 branches in 10 months
sciencescience-researchsoa
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.