cv
My CV, source code in LaTeX is available on demand.
Basics
Name | Matthias Cremieux |
Label | Software Engineer in ML @ Mindee | Mines de Paris & DAC |
matthias.cremieux@hotmail.fr | |
Summary | Fresh Graduate of a three-year master’s programme in executive engineering at MINES ParisTech as well as a MSc at Sorbonne university in Stats and ML. I have a keen interest in software engineering, machine learning, deep learning, its related fields, and in a broader sense, in computer science in general ! |
Work
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2021.10 - Present Paris
Software Engineer in Machine Learning
Mindee
- Co-Development of a distributed computing library based on Directed Acyclic Graphs (https://github.com/mindee/tawazi) - Development and optimization of a thread-safe inference framework for deep learning models in Python. Small experience with Cython. - Deep learning model RAM and computation time optimization (Tensorflow, ONNX) on various hardwares. - Deployment of applications with Kubernetes, Spinnaker and OpenLens. - Troubleshooting of performance issues (Flamegraphs, ptrace, strace, perf...), memory and file descriptor leaks (C). - Infrastructure and Deep learning models load testing (Locust, custom framework).
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2021.04 - 2021.09 Paris
Data Scientist (Graphène Advisory)
Beijaflore
Deep Learning for anomaly detection in unstructured log data. Siamese networks approach for similarity-based learning, in real time of streaming log events. • Implemented state of the art parsers for real-time streaming parsing of log events. • Implemented a Rest-API : Backend in Django and frontend in Angular. • Designed a simulated logging system and perform real-time anoamly detection on it
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2020.04 - 2020.08 Boston, Massachusetts, États-Unis
Research intern in computer vision
Schlumberger
Adapted Active learning techniques with semantic segmentation in the context of asset integrity inspection • Built a pipeline for automatic interactive Active Learning. • Found a way to reduce the labeling time while keeping peak accuracy
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2019.06 - 2019.12 Berlin, Berlin, Germany
Data Science Intern
PEAT GmbH
Used machine learning to create a farm activity recommendation system from weather data. Used deep learning to better classify ornamental plants from other plants
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2018.02 - 2018.02 Chantier Pulse, Aubervilliers
Intern - Assistant construction site supervisor
BATEG - VINCI Construction France
Blue collar job - managed a team of several people and assisted various technicians in their work in the office in charge of the structure
Education
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2020.12 - 2021.12 Master of Science - MS
Sorbonne Université
Mathematics and Computer Science - (Deep Learning and Machine Learning)
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2017.12 - 2021.12 Master of Engineering - MEng
MINES ParisTech
Engineering
- null - Large Scale Data Mining and Machine Learning
- null - Droit du travail
- - Recherche Opérationnelle
-
2009.12 - 2015.12
Certificates
Cyberdiplômé avancé | ||
Riot |
Skills
Logiciel Open Source |
Travail d’équipe |
Analyse de données |
Python |
Mathématiques |
Apprentissage automatique |
Deep learning |
Intelligence artificielle (IA) |
Python (langage de programmation) |
LaTeX |
Java |
Tensorflow |
Git |
PyTorch |
Unix |
Travail en groupe |
Parler en public |
Linux |
Mindee |
Languages
fr | |
Native Speaker |
Anglais | |
Full Professional |
Russe | |
Limited Working |
francais | |
Native Speaker |
References
Arthur Labarre | |
J’ai eu la chance de travailler avec Matthias de nombreuses années. Son impressionnante capacité de travail n’a d’égal que son sens de l’organisation. Dans un projet, Matthias prend les devants et est force de proposition en toutes circonstances, démontrant une capacité d’adaptation à toute épreuve. Je ne peux que vous recommander de travailler avec Matthias qui saura, j’en suis sûr, tirer vos projets vers le haut |
Projects
- 2018.09 - Present
Mechatronics Project : "B.R.A.Voice" for IRCAM
Design of an artificial mouth with a group of 12 students, in collaboration with students from BTS communication, BTS electronics and BTS mechanics. - Equation of the main acoustic functions of the mouth. - Running workshops to explain the project to secondary school students
- 2019.02 - 2019.03
Research work on sociology
This work was carried out as part of an intensive ‘Public Affairs and Innovation’ (API) course taught by research professors from the Centre de Sociologie de l'Iinnovation (CSI) at the Ecole des Mines de Paris, which aims to train engineering students in the political dimensions of large-scale industrial technical projects. A study trip was made to French Guiana to conduct sociological research (using interviews) applied to the challenges of industrial mining in French Guiana.
- 2017.11 - 2018.01
ALEF: "Alternative pour L'Energie du Futur"
Study and modelling of a Smart Grid system for the Paris Saclay Campus, consultancy mission for the Paris Region, in partnership with Enedis. - Simulation of the electricity needs of each player - Integration of storage systems and optimisation of their use