computer science engineer
Computer Science engineering degree acquired at Institut Supérieur d'Informatique, de Modélisation et de leurs Applications (63000 France).
Equivalent to a Master of Engineering in Computer Science. Speciality : "Scientific Computing and Modeling"
September 2017 - September 2020
International of Computer Science master degree acquired at Université Clermont Auvergne (63000 France).
September 2019 - September 2020
French two-year preparatory course for the competitive examination admission to a French grande
ecole.
Lycée Camille Jullian (33000 France).
Speciality : "Mathematics and Physics"
September 2015 - July 2017
High School Leaving Certificate.
Lycée Bernard Palissy (47000 France)
Juin 2015
3rd year internship of ISIMA engineering school in Thales Alenia Space.
Confidential subject
Juin 2020 - September 2020
3rd year internship of ISIMA engineering school in Thales Alenia Space.
Confidential subject
Juin 2020 - September 2020
3rd year project of ISIMA engineering school.
Integration of learning methods in a metaheuristic to solve vehicle routing problems.
September 2019 - mi-Mars 2020
3rd year project of ISIMA engineering school.
Integration of learning methods in a metaheuristic to solve vehicle routing problems.
Meta-heuristics search the solution space by using local search operators, but a lot of useful information is lost during the execution of the algorithm. In this project we have insert a learning method in our meta-heuristic in hope to improve in precision and speed the program solving vehicule routing problems.
2nd year internship of ISIMA engineering school in Fidroit.
Modelisation and development of a simulator for the evolution and optimization of a client's assets.
April 2019 - August 2019
2nd year internship of ISIMA engineering school in Fidroit.
Modelisation and development of a simulator for the evolution and optimization of a client's assets.
The purpose of this internship was to create a assets robot prototype which, with the expectations of the client and his assets, is able to calculate the orders of financial investments to be made over the years so that the client's expectations are met and that the heritage is the best possible. I made a prototype with a maximum flow minimum cost optimized for a graph implemented with the Boost library in C++.
2nd year project of ISIMA engineering school.
ECM + Optimization Method:
Approximating the variance-covariance matrix.
September 2018 - March 2019
2nd year project of ISIMA engineering school.
ECM + Optimization Method: Approximating the variance-covariance matrix.
The aim of this project is to create a library of MatLab functions for teacher-researchers Violaine ANTOINE and Jonas KOKO for an automatic classification problem. It performs an approximation of the matrices corresponding to ellipses in n dimensions representing as closely as possible groups of data. Development was done with the Octave IDE on Windows 10 education. The tests were carried out in the MatLab IDE on Fedora/UNIX.
1st year project of ISIMA engineering school.
Development of an educational application called "Perceplearn" to explain neural networks.
September 2017 - Juin 2018
1st year project of ISIMA engineering school.
Development of an educational application called "Perceplearn" to explain neural networks.
The objective of this project was the design and development of a new visualization and management tool for a supervised learning neural network: the Perceptron. The concept of the application was made in UML then it was developed in C# with the MVC design pattern.
Travail d'Initiative Personnelle Encadré of classe préparatoire aux grandes écoles.
Creating music by algorithms using two very different algorithms.
September 2015 - Juillet 2017
Travail d'Initiative Personnelle Encadré of classe préparatoire aux grandes écoles.
Creating music by algorithms using two very different algorithms.
The objective of my TIPE was to write a program in Python allowing to create music in a predefined style. I used two algorithms to best respond to my objective and comparing their complexity: << pseudo-random >> with Markov chains and << predictive >> with a Perceptron neural network.
Musician since I was a little boy, I practice different instruments: guitar (electric & classical), bass and piano.
I compose from time to time, most often computer music.
Here are a few frozen moments that I took.
To find among others on my Flickr.
.webp "Iris on the beach")
.webp "Flowers are red")
.webp "Strange mirror")
.webp "Magnificence on hoof")
.webp "Small but beautiful")
.webp "Cracking the waves")
.webp "The power in your hand")
.webp "cavalry charge")
My favorite means of transport is, by far, the bike that I practice every day for my daily trips or simply for walks.
I did a lot of fencing from 8 years old to 18 years old (competitor, trainer or organizer) and since then, I practice climbing.
Description of the star scale
Explication
C++
.webp)
Python
C#
.webp)
Java
C
.webp)
MatLab
.webp)
Fortran
Unity
HTML/CSS/PHP
SQL
GIT
Optimisation/Multithreading
Operational research
Finite element
Differential equation
Mecanic / CAD
HPC
Machine Learning
Neural networks
Imaging / 3D tools
French
Mother tongue
English
TOEIC 950
Edition of:
Video/Audio/Music
Microsoft Office
Latex
Send me an email to
mombelli.aurelien@gmail.com
Or use the form below: