Elom OKOUMASSOUN ^{Top-Executive}

I'm a Machine Learning and Computer Vision engineer working at the intersection of AI and deeptech.

Over the past two years, I designed and built a computer vision system at Quobly, a silicon qubit startup in Grenoble: an automated pipeline that detects Coulomb diamonds to characterize quantum devices. The work covered the full cycle, from computer vision modeling and HDF5 data pipelines to patent documentation for the underlying detection algorithm.

I stay close to AI research and keep exploring its fast moving frontier: large language models, multimodal learning, and generative approaches, along with how to turn them into practical systems. I'll be deepening that direction through an engineering degree in Big Data and Machine Learning at EFREI Paris.

I like problems where research meets production.

Core stack: Python, PyTorch, OpenCV, Docker, plus edge inference and MLOps tooling (FiftyOne, CVAT, HDF5).