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Karim BoutibaKB

Karim Boutiba

5G Software Engineer

€555/day
Nice, FR
3-7 years

Average response time: 1 hour

About Karim

✅ Six years of experience in 5G, O-RAN, and Artificial Intelligence (AI).
✅ Engineering degree in computer systems and Ph.D. degree in telecommunication systems.
✅ Extensive experience in leading national and EU-funded projects.
✅ Strong background in Radio Access Network (RAN), 5G Core, and End-to-End (E2E) testing, troubleshooting, and integration.
✅ Expertise in open-source 5G solutions and multi-vendor radio equipment integration.
✅ Experienced in AI/DRL/LLM applications for wireless communications, including dynamic TDD, DRX, RLF prediction, network slicing and automation.
✅ Strong analytical, problem-solving, and communication skills.
  • English

    Native or bilingual

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • EURECOM
    R&D Lead Engineer
    TELECOMMUNICATIONS
    February 2024 - Today (2 years and 4 months)
    France
    Enhancing 5G RAN software (OpenAirInterface) by designing and implementing:
    ◦ 3GPP-compliant DRX at the MAC and RRC layers of the 5G access stack.
    ◦ O-RAN fronthaul interface between High PHY layer and commercial Radio Units (RU)
    ◦ RedCap (3GPP Release 17) support.
    Deployment, Configuration and Validation of 5G testbeds (vRAN, vCore and UEs) for vertical trials.
    Leading collaborative projects (6G-BRICKS, 5G-STREAM, IMAGINE-B5G, 6G-VERSUS).
    Ensuring the readiness of EURECOM's 5G platform (OpenAirInterface).
    5G C/C++ Open Source Infra as Code Microservices Architecture
  • EURECOM
    R&D Engineer
    TELECOMMUNICATIONS
    October 2020 - January 2024 (3 years and 3 months)
    France
    Developed and maintained new features in 5G RAN (C, C++), including implementing 3GPP-compliant dynamic TDD and network slicing.
    Conducted in-depth troubleshooting, performance testing, and debugging of 5G software in indoor/outdoor environments to host Vertical Experiments in EURECOM's 5G testbed.
    Development of AI agents (Python) that configures the RAN using the O-RAN E2 interface:
    ◦ Dynamic TDD using DRL (DDPG) in the 5G!Drones EU-project for an AIRBUS MCX use case, optimizing DL/UL ratio to meet traffic demands.
    ◦ Abnormal traffic detection applied in the 6G-BRICKS EU-project.
    ◦ RLF prediction using LSTM and SVM models.
    ◦ Network slicing optimization by selecting numerology and BWP in simulated environments.
    ◦ Latency reduction by predicting the next grant in simulated networks.
    ◦ Dynamic TDD slot selection and interference mitigation in public networks.
    Contributions to OAI gNB: Dynamic TDD with dynamic control via O-RAN E2 interface, analyze, troubleshoot and fix bugs in OAI gNB and eNB to use it in Vertical Experiments that requires high throughput and low latency (5G-Drones EU-project).
    •Contributions to OAI 5G Core: design and implementation of an open-source 3GPP-compliant NWDAF, implementation of Event Exposure APIs in AMF/SMF.
    5G C/C++ artificial intelligence
  • EURECOM
    5G Software Developer Intern
    January 2020 - June 2020 (5 months)
    France
    Developed a low-level API enabling verticals to manage RAN slices, optimizing resource allocation at the physical layer.
    External API integration C/C++ Infra as Code

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Education

  • PhD degree
    Sorbonne University
    2024
    PhD degree
  • ENGINEERING degree
    Ecole Nationale Supérieure d'Informatique (ESI)
    2020
    ENGINEERING degree

Skill set

Categories