Summary
Yannis Karmim is a postdoctoral researcher based in Paris with 9 years of ML and computer vision experience, recently focusing on integrating knowledge graphs with large language models at INRIA. He completed a PhD on dynamic graph neural networks at CNAM, building on earlier work in semi‑supervised semantic segmentation and equivariance‑based consistency losses. Comfortable across research and engineering, he has applied PyTorch, KBs like DBpedia/WordNet, and Elasticsearch to bridge information retrieval, vision, and graph learning. Known for turning theoretical insights into practical models, he combines rigorous academic training with hands‑on implementation of novel GNN and LLM augmentation techniques.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Sorbonne Universités