From bc0ae65be18e8360d90035b8c82bc29db428df79 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Laure=CE=B7t?= Date: Mon, 29 May 2023 16:33:47 +0200 Subject: [PATCH] update to match last internship --- src/resume/resume.tex | 86 ++++++++++++++++++------------------------- 1 file changed, 35 insertions(+), 51 deletions(-) diff --git a/src/resume/resume.tex b/src/resume/resume.tex index e28f00f..7c6eca8 100644 --- a/src/resume/resume.tex +++ b/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 - box mAP of 0.8, providing fast and accurate segmentation. + \item Monitored hundreds of trainings using the MLOps platform Weights \& Biases. Achieved 90\% GIoU on test data, 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