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update Safran experience + hobbies

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Laureηt 2023-06-10 18:24:59 +02:00
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src/resume/resume.tex
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@ -84,12 +84,12 @@
\subsection{ENSEEIHT INP-Toulouse}
\descript{Master in Perf. Computing}
\descript{focused on Academic Reasearch}
\descript{focused on Academic Research}
\location{2022-2023 | Toulouse, France}
\vspace{3pt}
Scientific Computing and Data Analysis \\
Concurrent Programming \\
Parallel Programming \\
Concurrent \& Parallel Programming \\
Numerical Analysis \& Statistics \\
Operations Research \\
\sectionsep
@ -98,22 +98,11 @@
\descript{specialty in ML and CG}
\location{2020-2023 | Toulouse, France}
\vspace{3pt}
Algorithmic \& Computational Thinking \\
Open Source Software Engineering \\
Telecommunications \& Networking \\
Introduction to Database Systems \\
Compilers \& System Architecture \\
Object-Oriented Programming \\
Numerical analysis \& Statistics \\
Audio-visual Data Processing \\
Integration \& Probability \\
Functional Programming \\
Introduction to PDEs \\
Mobile Programming \\
Computer Graphics \\
Operating Systems \\
Machine Learning \\
Linear Algebra \\
\sectionsep
\subsection{LA PÉROUSE-KERICHEN}
@ -145,6 +134,20 @@
Cambridge Linguaskill C1+
\sectionsep
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ABOUT
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{About}
\subsection{OSS Contributor}
NixOS \textbullet{} HuggingFace \\
LightningAI \textbullet{} AliceVision
\sectionsep
\subsection{Hobbies}
OSS \textbullet{} Aquariums \\
Slacklining \textbullet{} Padel
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% COLUMN TWO
@ -165,10 +168,10 @@
\location{March 2023 - September 2023 | Paris, France}
\vspace{10pt} % Hacky fix for awkward extra vertical space
\begin{tightemize}
\item Studied state of the art generative models for 3D data, such as PointNet++, Graph U-Net, Point Voxel Diffusion, LION and PointFlow.
\item Settled on a diffusion architecture with a U-Net KPConv backbone, and implemented it in Pytorch Lightning.
\item Trained a conditional model on specific aircraft industrial parts with their perfomance metrics, such as drag coefficient, lift coefficient, etc.
\item Deployed the model to production, allowing Safran engineers to generate new parts with specific performance metrics by sampling the model.
\item Studied state of the art generative models for 3D data, such as PointNet++, Graph U-Net, PointFlow, Point Voxel Diffusion and LION.
\item Settled on Latent Diffusion Models, implemented a dozen architectures using libraries such as PyTorch Geometric, PyTorch Lightning, HuggingFace diffusers, HuggingFace Datasets, etc.
\item Trained models on specific aircraft industrial parts, conditioned on perfomance metrics, such as drag coefficients, lift coefficients, etc.
\item Released internally the models and code, enabling Safran engineers to generate new parts with specific performance metrics and to easily reuse the code for other applications.
\end{tightemize}
\sectionsep