update to match last internship

src/resume/resume.tex

@@ -51,7 +51,7 @@
 \pagestyle{fancy}
 \fancyhf{}
 
-\rfoot{\bf{For additional resources (school projects, code, PDFs, etc.) see personal website.}}
+\rfoot{\bf{For additional resources (projects, code, PDFs, etc.) refer to personal website}}
 
 \begin{document}
 
@@ -84,34 +84,36 @@
 
   \subsection{ENSEEIHT INP-Toulouse}
   \descript{Master in Perf. Computing}
+  \descript{focused on Academic Reasearch}
   \location{2022-2023 | Toulouse, France}
   \vspace{3pt}
+  Scientific Computing and Data Analysis \\
   Concurrent Programming \\
-  Operations Research \\
   Parallel Programming \\
-  Scientific computing and data analysis \\
+  Operations Research \\
   \sectionsep
 
+  \subsection{ENSEEIHT INP-Toulouse}
   \descript{MEng in Computer Science}
   \descript{specialty in ML and CG}
   \location{2020-2023 | Toulouse, France}
   \vspace{3pt}
   Algorithmic \& Computational Thinking \\
-  Audio-visual Data Processing \\
-  Compilers \& System Architecture \\
-  \textbf{Computer Graphics} \\
-  Functional Programming \\
-  Integration \& Probability \\
-  Introduction to Database Systems \\
-  Introduction to PDEs \\
-  Linear Algebra \\
-  \textbf{Machine Learning} \\
-  Mobile Programming \\
-  Numerical analysis and statistics \\
-  Object-oriented programming \\
   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 \\
-  Telecommunications \& networking \\
+  Machine Learning \\
+  Linear Algebra \\
   \sectionsep
 
   \subsection{LA PÉROUSE-KERICHEN}
@@ -139,7 +141,8 @@
   \sectionsep
 
   \subsection{Certificates}
-  French driver's license
+  French driver's license \\
+  Cambridge Linguaskill C1+
   \sectionsep
 
   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -157,47 +160,28 @@
   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
   \section{Professional Experience}
-  \runsubsection{REVA - IRIT} | \descript{Research Internship in Computer Vision}
+
-  \location{June 2022 - September 2022 | Toulouse, France}
+  \runsubsection{Safran} | \descript{Deep 3D Generative Modeling Internship}
+  \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.
+  \end{tightemize}
+  \sectionsep
+
+  \runsubsection{REVA - IRIT} | \descript{Computer Vision Research Internship}
+  \location{June 2022 - September 2022 | Toulouse, France}
   \begin{tightemize}
     \item Fine-tuned a state of the art Deep Learning model to detect spherical markers in images for Photometric Stereophography calibration.
     \item Collaborated with 3 engineers from MIKROS and Technicolor as part of the ALICIA-Vision Labcom european project.
-    \item Monitored hundreds of trainings using the MLOps platform Weights \& Biases. Achieved a bounding
+    \item Monitored hundreds of trainings using the MLOps platform Weights \& Biases. Achieved 90\% GIoU on test data, providing fast and accurate segmentation.
-    box mAP of 0.8, providing fast and accurate segmentation.
     \item Built using the Pytorch Lightning framework, exported to ONNX format, deployed to production in AliceVision with ONNXRuntime.
   \end{tightemize}
   \sectionsep
 
-  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-  %     SCHOOL PROJECTS
-  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-  \section{School Projects}
-  \runsubsection{Deep Learning Classifier} \descript{}
-  \location{May 2022 | ENSEEIHT}
-  \begin{tightemize}
-    \item Simple CNN image classifier, trained on a custom dataset, to recognize car models in Rocket League Sideswipe.
-    \item Built using Python, Tensorflow, Keras, Albumentations and Android ADB. Achieved above 99\% accuracy.
-  \end{tightemize}
-  \sectionsep
-
-  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-  %     PERSONAL PROJECTS
-  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-  \section{Personal Projects}
-
-  \runsubsection{ENSSEIHT Plays Gameboy} \descript{}
-  \location{November 2021}
-  \begin{tightemize}
-    \item Simple real-time collaborative emulator, robust and highly available.
-    \item Entertains several hundred students each year during pre-show phases.
-    \item Built using WebSockets, Redis, Docker, RTMP, mGBA and glued together with Python. Deployed headless in a Kubernetes cluster.
-  \end{tightemize}
-  \sectionsep
-
-
   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   %     VOLUNTEER EXPERIENCE
   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -209,7 +193,7 @@
     \item Led and managed the association and its financing for a term of one year.
     \item Contributed to and developed the codebase used by 5000+ students per year. \\ Provided technical micro-trainings to hundreds of students.
     \item Planned and started the migration of our server room to an \textit{infrastructure as code} Proxmox + Kubernetes virtual cluster.
-    \item Acquired solid skills in system administration and its tools: \\ Docker, Git, Kubernetes, NixOS, NGINX, Apache, Redis, LDAP/CAS, CI/CD...
+    \item Acquired solid skills in system administration and its tools: \\ Docker, Git, Kubernetes, NixOS, NGINX, Apache, Redis, LDAP/CAS, CI/CD, etc.
   \end{tightemize}
   \sectionsep