Experience

Nota AI

• South Korea
• IT Services and IT Consulting
• 1 - 100 Employee

• Research Engineer

  • Jan 2023 - Present

  In January 2023, I relocated from Berlin, Germany to Seoul, South Korea.

• Research Engineer

  • Apr 2021 - Dec 2022

  Since April 2021, I worked as a research engineer in the Berlin branch of the South Korean company Nota AI, with the objective to make neural networks lighter and faster.



NAVER LABS Europe

• France
• Research Services
• 1 - 100 Employee

• Research Intern

  • Mar 2020 - Sep 2020

  * Subject: "SuperLoss: A Generic Loss for Robust Curriculum Learning" (supervisor: Jérome Revaud) * Paper accepted to 𝗡𝗲𝘂𝗿𝗜𝗣𝗦 𝟮𝟬𝟮𝟬 (see Publications section) * 2nd place during the "intern day", an internal event during which interns present the work they achieved during their internship During this internship, I had the opportunity to work with amazing people from the 3D vision team and the computer vision team of Naver Labs. Even though this internship started at the beginning of the lockdown in France (COVID-19), we worked efficiently and submitted the paper to NeurIPS less than 4 months into the internship. After the paper submission, I explored ways to extend our work to semi-supervised learning. Show less



AnatoScope

• France
• Medical Device
• 1 - 100 Employee

• Research Intern

  • May 2019 - Aug 2019

  * Subject: landmarks detection on 3D meshes using 2D pictures only (with CNN) * Work based on the paper "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning" (Nov 2018) * Subject: landmarks detection on 3D meshes using 2D pictures only (with CNN) * Work based on the paper "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning" (Nov 2018)



Laboratoire Jean Kuntzmann

• Grenoble Area, France

• Intern

  • May 2018 - Jun 2018

  * Statistical study (evaluation of Montessori pedagogy) * Data visualisation * Data cleaning, descriptive statistics and statistical inference * Statistical study (evaluation of Montessori pedagogy) * Data visualisation * Data cleaning, descriptive statistics and statistical inference