photo de profil d'un membre

Amine Tourki

Resume Amine Tourki

Situation professionnelle

En recherche active

Souhait professionnel

Poste
AI/Machine learning engineer
Experience
< 3 ans
Rémuneration
80-90 KCHF
Type de contrat
CDI
Mobilité
- Indifférent
Fonctions
- Ingénierie
- Recherche appliquée
Secteurs
- Construction de Machines / Automatisation
- IT / Télécommunications
- Electricité / Electronique / Semi-conducteurs

Expériences professionnelles

Machine learning intern

Honda Research Institute Europe GmbH

De Septembre 2023 à Août 2024

- Integration of a Risk Estimation model previously used in Autonomous driving to Pedestrian Navigation
- Optimization and Sensitivity Analysis of the model in Python
- Simulation in Webots

Machine learning intern

biped.ai

De Septembre 2023 à Mars 2024

- Filtering and Optimization for a vision pipeline based on Realsense Depth cameras
- 3D tracking and Segmentation from a pointcloud
- Coding in Python

Research student

EPFL (École polytechnique fédérale de Lausanne)

De Février 2023 à Octobre 2023

Part of the Assistive Technologies Projects at EPFL, and in collaboration with SBB and HackaHealth, this project aims to help visually impaired people detect free seats in trains.

Research student

EPFL (École polytechnique fédérale de Lausanne)

De Juin 2022 à Septembre 2022

Worked as a summer intern at the LASA lab at EPFL. Developped an Unscented Kalman filter (UKF) and a Dynamics learning algorithm (using machine learning) for the research project I.AM (Impact aware manipulation).

Research student

EPFL (École polytechnique fédérale de Lausanne)

De Février 2022 à Juin 2022

Completed a project at the DISAL lab at EPFL. I was responsiible of the development of a robust onboard Visual Inertial Odometry (VIO) state estimate for indoor drones. The project is a direct application of Sensor fusion and Extended Kalman filtering using ROS.

Computer vision research engineer

EPFL (École polytechnique fédérale de Lausanne)

De Juillet 2021 à Septembre 2021

Worked as a summer intern at the LUTS lab at EPFL. I was responsible for writing and enhancing the PNEUMA project’s library.
The internship wa focused on Computer Vision and Deep Neural Network training for vehicle detection
and classification by drone swarms.

Teaching assistant

EPFL (École polytechnique fédérale de Lausanne)

De Mars 2021 à Juin 2021

Worked as an Electronics student assistant at the EPFL and was responsible for supervising students in the exercise sessions as well as help students with circuits simulation sessions.

Teaching assistant

EPFL (École polytechnique fédérale de Lausanne)

De Janvier 2019 à Décembre 2019

Student assistant for the Information, Computation and Communication (ICC) course at EPFL. Was responsible guiding the students through the programming exercises and assist them with the final project of the course.

Parcours officiels

Master – Robotique – Microtechnique (MT) – STI – 2024
Bachelor – Microtechnique – Microtechnique (MT) – STI – 2021

Langues

Anglais - Courant

Français - Courant

Arabe - Langue maternelle

Allemand - Notions

Compétences

Rapid Prototyping
Google Cloud Platform (GCP)
Software Development
Computer Science
Cameras
State Estimation
Problem solving
Navigation Systems
Optimization
Artificial Neural Networks
Artificial Intelligence (AI)
PyTorch
Git
Reinforcement learning
Android Studio
Autodesk Fusion 360
Autocad
Tensorflow
SQL
Particle Filters
Scala
Electrical Engineering
Electronics
Bluetooth Low Energy
Beacon
Robot Operating System (ROS)
Programming Languages
Programming
Mobile Robotics
Kalman filtering
sensor fusion
Application Development
Autonomous Vehicles
Drones
MATLAB
Kotlin
Computer vision
Deep learning
Machine learning
Python (Programming Language)
Java
C++
data analysis