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Meysam MayahiMM

Meysam Mayahi

Product Owner & Technical Lead

€500/day
Rennes, FR
8-15 years
Wireless Networks and Telecommunications
Wi-Fi / 5G / 6G / IoT
Python, C++ and MATLAB Development
Performance Analysis and Network Optimization
Machine Learning Applied to Networks

Average response time: 1 hour

Freelancer profile translated to English.
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About Meysam

Doctor of Computer Science and R&D engineer in telecommunications, I specialize in wireless networks, Wi-Fi/5G/IoT, performance analysis, Python/C++/MATLAB development, and machine learning applied to networks. I help companies design, optimize, and evaluate innovative technical solutions, with a rigorous, autonomous, and results-oriented approach.
Telecommunications
Environmental and Sustainable Development
IoT (Internet of Things)
Digital and IT Services
Education Systems, Research, and Universities

  • English

    Native or bilingual

  • Italian

    Conversational

  • French

    Fluent

  • Arabic

    Native or bilingual

  • Persian

    Native or bilingual

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

Experience

  • Cellular Localization Project
    Product Owner & Technical Lead
    TELECOMMUNICATIONS
    March 2025 - Today (1 year and 3 months)
    Rennes, France
    Emergency Localization: Spearheading the development of advanced localization methods using cellular signaling (2G/3G/4G) to aid crisis management in GPS-denied environments (tunnels, dense urban areas).
    SDR Prototyping: Leading the implementation of a PoC system using USRP B210 and open-source stacks (OpenAirInterface, srsRAN).
    Security & Signaling: Decoding critical signaling (TMSI/GUTI) and Paging patterns to analyze protocol vulnerabilities and improve user tracking accuracy.
    AI/ML Integration: Engineered a "Smart Scanning Logic" using Python to automate the discovery of cellular targets based on RSRP and operator codes.
    SDR Wi-Fi / 5G / 6G / IoT Python, C++ and MATLAB Development Market Research Open Source
  • CNRS / Orange Innovation
    Research Engineer
    January 2023 - January 2025 (2 years)
    Rennes, France
    • • ML-Based Wi-Fi Scheduling: Developed an intelligent scheduler for IEEE 802.11ax (Wi-Fi 6) to tune network parameters dynamically based on Application KPIs.
    • • Performance Modeling: Used Regression models to predict non-linear impacts of network configurations on throughput.
  • INRIA Lille - Nord Europe
    Doctoral Researcher
    TECH
    January 2019 - January 2023 (4 years)
    Lille, France
    INVISIBLE 2.0: Designed a vertical handover mechanism for hybrid VLC/C-V2X networks, achieving 3GPP reliability standards for vehicular safety.
    Energy Efficiency: Developed power consumption models for unlicensed optical spectrums to ensure sustainable 6G connectivity.

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Education

  • Doctorate
    Universite de Lille
    2023
    Doctorat en informatique
  • M.Sc.
    University of Bologna
    2019
    M.Sc.

Categories

  • Other