Mahmoud El Hage

ist offen für Projekte. 🔎

Angestellt, AI/LLM Engineer, FINNOFLEET P-D-F GmbH
Berlin, Germany

Fähigkeiten und Kenntnisse

Large Language Models
GenAI
Machine learning
Natural Language Processing (NLP)
TensorFlow
PyTorch
Python
Docker
Git
Teamfähigkeit
Kreativität
Kommunikationsfähigkeit

Werdegang

Berufserfahrung von Mahmoud El Hage

  • Current 3 months, since Mar 2026

    AI/LLM Engineer

    FINNOFLEET P-D-F GmbH

    Building end-to-end intelligent document processing pipelines for financial and legal documents, combining locally deployed LLMs (Mistral, Qwen, Llama, ...) with computer vision to extract structured data, detect visual annotations and automate post-processing workflows.

  • 1 year and 1 month, Feb 2025 - Feb 2026

    AI SOLUTION ENGINEER

    Workist GmbH

    - Designed and customized Al-driven solutions to expand use case coverage on the platform. - Developed intelligent automation agents using n8n/Make.com, integrating LLMs and APIs to streamline internal workflows and boost productivity. - Delivered Al-centric technical support across pre-sales and post-sales stages, advising on optimal Al integration strategies. - Integrated customer IT systems with the Workist Al platform via API development, data import/export automation, and custom Al workflows.

  • 1 year and 7 months, Jul 2023 - Jan 2025

    Machine learning Researcher

    Max Planck Institute for Human Development

    - Trained, evaluated, and optimized Large Language Models on an in-house computing cluster with over 1000 GPUs. - Improved LLM evaluation metrics through comprehensive quantitative and qualitative assessments. - Integrated and managed high-volume API requests to OpenAI/Azure, handling over 1000 requests per minute in parallel. - Specialized in prompt engineering for high-value projects, enhancing LLM responsiveness and accuracy by more than 25%.

Ausbildung von Mahmoud El Hage

  • 2 years and 5 months, Apr 2022 - Aug 2024

    Computer Engineering

    TU Berlin

    Specialisation in Human-Machine interactions and Cognitive Systems.

  • 4 years and 1 month, Oct 2018 - Oct 2022

    Technische Informatik

    TU Berlin

Sprachen

  • Arabic

    C2 (Verhandlungssicher / Muttersprachlich)

  • German

    C1 (Fließend)

  • English

    C1 (Fließend)

  • French

    B1-B2 (Gute Kenntnisse)

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