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Taha BouhTB

Taha Bouh

Embedded Software C/C++ Engineer

€200/day
Grenoble, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Taha

Engineer specialized in embedded systems and software development, with a solid academic background and significant experience in low-level programming and software application design. Expertise in embedded development, particularly on STM32 microcontrollers and real-time environments, as well as software development in C, C++, and Java. Skills in system optimization, embedded artificial intelligence integration. Proven ability to work in a team and adapt to varied technological environments.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

Can work on-site
Grenoble (up to 50km)

Experience

  • Enedis
    End-of-study internship
    ENERGY AND UTILITIES
    April 2024 - October 2024 (6 months)
    Paris, France
    Development of a standalone arbitrary signal generator integrating an interactive web interface for real-time signal control and visualization. Design and programming on STM32H7 microcontrollers, with a graphical interface developed in Qt for local use and a web interface in React.js/Node.js for remote access.
    • Implementation of embedded communication protocols such as UART, SPI, and I2C for data transmission between the STM32H7 and external peripherals. Setup of network communication via MQTT and WebSockets, enabling real-time remote monitoring and control.
    • Performance optimization using advanced signal processing techniques and efficient management of interrupts and DMA (Direct Memory Access) to improve system responsiveness.
    C++ STM32 React.js Node.js Qt
  • Groupe OCP
    Assistant Engineer Intern
    ENVIRONMENTAL
    June 2023 - September 2024 (1 year and 3 months)
    El Jadida, Morocco
    Development of Node-RED solutions and implementation of machine learning workflows for a dashboard, creation of advanced algorithms (LSTM, GRU) with TensorFlow to predict power fluctuations, increasing prediction accuracy and optimizing model selection through comprehensive metric evaluation.
    Python Node.js React.js Artificial Intelligence Deep Learning

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Education

  • Engineering degree
    Grenoble INP Ensimag
    2024
    système embarquée et objet connectés

Skill set

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