home
Mohamed Arbi Nsibi

My Timeline

  1. December 2025 - Present

    AI Engineer

    Yellowsys

    Built low-latency retrieval systems to reduce time needed to query large documents.

  2. July 2025 - October 2025

    AI Engineer

    GreenEarthX

    Developed certification-focused RAG and OCR pipelines for regulatory document search and recommendations.

  3. July 2025 - Present

    Qdrant Star

    Qdrant Community

    Contribute to the Qdrant community through technical education, feedback, and ecosystem advocacy.

  4. February 2025 - July 2025

    MLOps Engineer (Graduation Project)

    Carbon Insights

    Built hydrogen cost forecasting and automated certification workflows with measurable accuracy and speed gains.

  5. September 1, 2024

    Mentor

    GDGoC SUP'COM and ISAMM

    Started mentoring student organizers across GDGoC SUP'COM and ISAMM communities.

  6. July 2024 - September 2024

    AI Intern

    Omicrone

    Built an end-to-end AI candidate matching workflow with ranking, reporting, and email generation.

  7. August 1, 2023

    GDSC SUP'COM Lead

    GDG SUP'COM

    Began leading GDSC SUP'COM with a focus on technical events and community growth.

  8. July 2023 - September 2023

    Machine Learning Engineer Intern

    IEEE Tunisia Section

    Developed invoice-verification ML models and anomaly detection workflows for fraud risk reduction.

December 2025 - Present

AI Engineer

Yellowsys

  • Built low-latency retrieval systems to reduce time needed to query large documents.

July 2025 - October 2025

AI Engineer

GreenEarthX

  • Continued work from my graduation project with Carbon Insights partner GreenEarthX, extending certification automation workflows.
  • Developed a recommendation agent to help hydrogen plant operators access complex certification documents with a custom RAG approach.
  • Implemented an OCR pipeline for scanned and unstructured documents, enabling automated indexing and search.

July 2025 - Present

Qdrant Star

Qdrant Community

  • Engage with the developer community through knowledge sharing, feedback, and early adoption of new features.
  • Contribute to the vector search ecosystem by creating technical content and tutorials on embedding-based retrieval and RAG systems.

February 2025 - July 2025

MLOps Engineer (Graduation Project)

Carbon Insights

  • Developed a forecasting framework for hydrogen cost estimation using multi-model time-series methods, improving accuracy by 15%.
  • Automated certification workflows, reducing processing time by 30% and improving system scalability.

July 2024 - September 2024

AI Intern

Omicrone

  • Built an AI-powered candidate matching system that extracts key details from resumes, generates matching reports, ranks candidates by suitability, and drafts emails for top candidates.

August 1, 2023

GDSC SUP'COM Lead

GDG SUP'COM

  • Started role as GDSC SUP'COM Lead on August 1, 2023.

July 2023 - September 2023

Machine Learning Engineer Intern

IEEE Tunisia Section

  • Developed ML models for automated invoice verification by analyzing date, stamp, and signature data.
  • Designed a data entry workflow to streamline processing and used anomaly detection to identify fraud risks.