diff --git a/src/resume/resume.tex b/src/resume/resume.tex
index 7c6eca8..fe95460 100644
--- a/src/resume/resume.tex
+++ b/src/resume/resume.tex
@@ -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