Quentin Kaci

Quentin Kaci has a diverse work experience in the field of software engineering and machine learning. In 2022, Quentin worked as a Software Engineer - Algorithms for Seoul Robotics, where they focused on C++ programming. Prior to this, in 2022, they served as a Research Intern - Machine Learning at Siemens Healthineers, where they specialized in solving inverse problems for MR complex-valued images using Deep Learning techniques. Quentin also conducted research and made improvements to state-of-the-art methods in denoising and super-resolution. Additionally, Quentin worked as a Research Student at LRDE (Laboratoire de Recherche et Développement de l'EPITA) in 2021, where they implemented efficient hierarchical morphological representations for image processing. This involved optimizing image segmentation techniques and utilizing C++, CUDA, and Python programming languages. In 2020, Quentin served as a Software Engineer intern at CNRS, where they developed holographic imaging software for ophthalmology using C++/CUDA. The internship focused on accelerating and optimizing the software, as well as improving its robustness and maintainability.

Quentin Kaci pursued their education from 2017 to 2022 at EPITA: Ecole d'Ingénieurs en Informatique, where they completed their Master's degree in Computer Science. In 2019, they also attended Sejong University for an international semester, focusing on Computer Engineering. These educational experiences indicate Quentin's dedication to the field of computer science and engineering.