Temporary Work International
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Youssra is a dynamic industrial computer science and automation engineer with proven experience in artificial intelligence and embedded systems. She has proven her skills in various internships and projects, especially in the field of process optimization and efficiency improvement. Youssra is ready to take on a new challenge from September and would like to contribute her skills in an innovative and fast-paced environment.
Professional experience
- Embedded AI Engineer Intern (03/2024 - 08/2024, LGP ENIT, Tarbes, France):
- Integration of AI into the Chaikmat platform, which increased the efficiency of two manipulator robots by 30 %. Use of technologies such as Linux, OPC UA, Ethernet, Python, C++, Raspberry Pi and RTOS.
- Implemented advanced sensor integration and machine learning algorithms with OpenCV and TensorFlow, resulting in a 25% increase in efficiency and reduction in downtime.
- Machine Learning Developer Intern (06/2023 - 07/2023, Bqube ITS, Ariana, Tunisia):
- Development of a model for error detection and counting in objects with 98%iger precision and 95%iger accuracy using Python, CNN and Raspberry Pi.
- Embedded Systems Developer (08/2022 - 05/2023, Bqube ITS, Ariana, Tunisia):
- Development of robust applications for embedded systems with C and C++, especially for ESP82, STM32 and ARM platforms.
- Work with various IoT protocols (e.g. MQTT, Modbus, SPI, I2C, Zigbee, LoRaWAN) to control and communicate modules.
- Python & Web Developer Intern (06/2022 - 07/2022, Hormiga-services, Medenine, Tunisia):
- Automation of parameter calculation for asynchronous motors, saving 10 hours of engineering work per week.
- Development of the front end of a web application with Angular.
Education
- Master M2: Complex and Intelligent Systems (09/2023 - 06/2024, Tunisia Polytechnic School).
- Engineering Diploma: Industrial Computer Science and Automation (09/2019 - 06/2024, National Institute of Applied Sciences and Technology - INSAT).
Projects
- Handwritten Digit Recognition (year-end project, 05/2023):
- Developed a real-time handwritten digit recognition system using Keras and TensorFlow that achieved 98.51TP3 accuracy on the MNIST dataset.
- Smart Home Prototype (02/2023):
- Development of a smart home prototype for the automation of devices using IoT technologies, Arduino and ESP8266.
- Inverted Pendulum Control System (04/2023):
- Construction of a control system for an inverted pendulum with STM32 and LabVIEW, which enabled stabilization with 98%iger accuracy.
Technical skills
- Programming languagesPython (with OpenCV, TensorFlow), C, C++, Java, Embedded C, VHDL.
- Simulation and development toolsSolidWorks, MATLAB, Arduino, LabVIEW, Simulink, STM32 Cube, SAP.
- TechnologiesComputer vision, Linux, ROS, Git, Arduino, database management (SQL), IoT protocols (SPI, I2C, UART).
- Soft skillsCommunication skills, teamwork, leadership and management skills.
Language skills
- FrenchB2 level (DELF B2).
- EnglishB2 level (TOEIC).
- Arabic: Mother tongue.
Strengths
- Sound knowledge in the development and implementation of embedded systems and AI solutions.
- Experience in the application of machine learning to optimize processes and increase efficiency.
- Versatile project and internship experience in various technological fields, demonstrating a high level of adaptability.
Suitability for the German labor market
Youssra has strong technical skills in automation and embedded AI systems, making her a valuable candidate for German technology companies specializing in the development and optimization of IoT and automation solutions.
Are you interested in this applicant profile? Send us a non-binding request by Mail or via the Contact form. We offer IT Recruitment, Temporary employment, Remote Teams.
Please enter "YOUSSRA" with your request. Youssra Curriculum Vitae.pdf
