About Mouhamadou Bachir
French
Native or bilingual
Wolof
Native or bilingual
English
Fluent
Experience
- Infinium RoboticsMission: Robotics Consultant Engineer (Mission in English)LOGISTICS AND SUPPLY CHAINDecember 2023 - February 2024 (2 months)Paris, FranceFeasibility and development of an indoor navigation method for the Anafi AI drone for warehouse inventory management. (English-speaking client)- Familiarization with Parrot's Olympe and Air SDKs.- Study of different Air SDK missions in Python and C++.- Acquisition of video streams from various cameras.- Importing necessary libraries and developing components in C++ for localization based on aruco tag detection.- Recording navigation data (logs and images) for post-flight analysis.- Simulation tests on Sphinx and on a physical drone.- Development of an Air SDK mission for navigation based on aruco tag detection.
- MeritisRobotics EngineerMay 2019 - March 2024 (4 years and 10 months)Several missions as a consultant engineer in Advanced Systems and Robotics for various clients, detailed below.
- Institut de Recherche Technologique RAILENIUMROS Integration EngineerTRANSPORTATIONNovember 2022 - October 2023 (11 months)Paris, FranceIntegration of AI algorithms for hazard detection on a prototype digital train for passengers using ROS with onboard sensors.- Familiarization with onboard sensor data acquisition brokers under ROS.- Configuration of network parameters for onboard servers necessary for communication and proper sensor data reception.- Regular updates of detection messages sent to the decision-making subsystem and messages received from other subsystems, then publishing under ROS.- Laboratory validation with interface tests and functional tests with other subsystems using mock messages or data replay.- Preparation of onboard servers on a test bench for in-line testing of the overall system.- Integration under ROS of Artificial Intelligence algorithms for detecting hazards in the train's environment, passenger activity within carriages and near doors, as well as diagnostic functions for the train's status, developed by the team's AI engineers.- Development of a feature to write images containing detected hazards to a shared disk for in-line incident management.- Verification of proper sensor data reception and the correct functioning of various perception subsystem components running in parallel on different onboard servers.- In-line testing and validation of different scenarios with all teams.- Theoretical study of various microcontrollers for AI and tests on Jetson Nano microcontroller.
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Education
- Master 2 (M2), Advanced Systems and RoboticsPierre and Marie Curie University2018Master 2 (M2), Systèmes avancés et Robotique
- Master 1, Advanced Mechanical Systems and RoboticsPierre and Marie Curie University (Paris VI)2017Master 1, Systèmes Mécaniques Avancés et Robotique
Certifications
- Digital Signal Processing SpecializationCoursera/EPFL2021
- MQTT Foundation LevelCedalo2024