Summary
Youcef Kacer is a Senior Machine Learning Engineer with 10 years of hands-on expertise in computer vision and ML, currently leading the technical roadmap for ML features at Odigo’s CCAAS platform. He designs and operationalizes scalable training and serving pipelines (Kubeflow/TFX), prototypes self-hosted LLM agents (VLLM, LangChain, RAG) with latency/throughput optimization, and drives CI/CD best practices across Jenkins and GitLab. Previously he led ML and CV teams at BNP Paribas Cardif building cloud-hosted document extraction APIs and robust hybrid vision-language toolboxes, optimizing both IO- and CPU-bound Python code for production. His background spans applied research in X-ray threat detection and vehicle analysis using classical features through modern CNNs, reflecting a rare blend of signal-processing foundations and contemporary deep-learning deployment. Based in Nanterre, France, he pairs formal training from Telecom Bretagne and Telecom Paris with a continual curiosity—publishing work and personal projects on ykacer.github.io that showcase practical MLOps and CV innovations.
10 years of coding experience
13 years of employment as a software developer
Scientific Baccalauréat with honors (French high-school degree), Mathematics, Scientific Baccalauréat with honors (French high-school degree), Mathematics at Lycée Hélène Boucher
Online certificate, Data Modeling/Warehousing and Database Administration, Online certificate, Data Modeling/Warehousing and Database Administration at OpenClassrooms
Certificate, Data Science and Big Data, Certificate, Data Science and Big Data at Télécom Paris
Preparatory Classes, PCSI//PC*, Preparatory Classes, PCSI//PC* at Lycée Fénelon
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Telecom Bretagne
English, Spanish, Arabic