Date attended: from: 2016 to: 2019

School: Ecole Centrale Paris

Description: Mathematics: Advanced Statistics, Machine Learning, Advanced Probability, Partial Differential Equations, Real Analysis, Algorithmics, Decision Making, Software development Physics: Advanced Statistical Physics, Modern Mathematical Physics, Atomic and Molecular Physics, Wave Theory, Fluid mechanics, Quantum Physics, Applied Thermodynamics, Mechanics, Heat transfer, Synchrotron Management: Economics, Business Development, Leadership workshops, Law, Business Management, Corporate Accounting and Finance Others: English, German, Epistemology, Philosophy, Innovation, System engineering, Life sciences, Embedded Control Systems, Information Systems

Degree: Master's Degree

Field of study: Engineering Science

Name company: Kinetix

Title: R&D Deep Learning Engineer

Location: Paris, France

Experience abroad: No

Time period: from: 01.2021 to: 09.2022

Description: Senior Deep Learning Engineer in the Research and Development team at Kinetix (team of 6 people). Kinetix is a SaaS plateform giving access to 3D animator tools that use Artificial Intelligence algorithms to animate your character from an input video. Setting up production-ready pipelines for computer vision tools: - Integration and unit tests on Github actions - Use of AWS and Azure services for model training and inference for users Implement and improve state-of-the-art algorithms in computer vision: - character detections - 2D and 3D pose estimations, depth estimation - motion tracking, movement filtering - animation generation and latent representation Use of physic engines and 3D tools: - Creation of a ragdoll (urdf) - Implement optimisation post-processing of animations in pybullet - RBDL - Blender Normalisation of the Deep Learning training process: - literature review - data preprocessing - data augmentation - training monitoring Team and Resource management: - Git collaboration: Pull Request Review - Interviews and recruitment - Decision-making process in the R&D team