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Sourour H. — Junior Machine Learning Engineer from Lebanon

Sourour H.

Junior Machine Learning Engineer

Lebanon Less than 1 year
Open to offersNew to Platform
Languages
EnglishFrenchArabicTurkish
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About

Sourour H. is a seasoned Computer & Communications Engineer specializing in Machine Learning and software systems with extensive expertise in constructing robust, secure, and explainable solutions. She possesses hands-on experience in deploying large language models and developing complex agentic systems from her research internship in Paris. Her work includes an impressive graduate thesis at Lebanese University that utilized deep learning to build a four-pipeline multimodal system for automated dental-implant risk classification, achieving notable results of 92.7% AUC-ROC and 95.1% accuracy even under challenging data conditions. Sourour holds a dual M.Eng. in Computer & Communications Engineering and IoT & Smart Systems, and has developed proficiency in tools like LangChain, RAG, PyTorch, and YOLOv8, reflecting her commitment to advancing AI technology in medical imaging and security applications. She has further enriched her skills through internships focused on anomaly detection, AI security, and telecommunications engineering.

Experience

  • Graduate Thesis — Multimodal AI for Dental-Implant Risk Classification

    Lebanese University (ULFG), with Zaka and Dr. Joe Basil Dental Clinic · 2025 — 2026
    Developed a four-pipeline multimodal AI system for estimating implant risk, incorporating CBCT, panoramic, and intraoral imaging along with 18 structured clinical factors, synthesized under a clinical decision rule using multiple datasets.
  • AI Agents & Security Intern

    VersifAI · 2025 — 2025
    Created LLM-powered agentic AI systems as part of a supervised research program, designing agent prototypes with LangChain and Smolagents while applying retrieval-augmented generation (RAG) and prompt engineering techniques.
  • Image Annotation Intern

    DOT Lebanon · 2024 — 2024
    Conducted image annotation tasks for AI/ML training datasets using the Tagadam framework, focusing on maintaining labeling accuracy and consistency within large image datasets.
  • Telecommunications Engineering Intern

    OGERO · 2024 — 2024
    Explored digital switch design and tele-traffic engineering, gaining practical experience in surveying MDF and performing testing and splicing of fibre-optic networks.

Skills & Expertise

Education

  • Master of Engineering in Computer & Communications Engineering
    Lebanese University — Faculty of Engineering, Tripoli (ULFG) · 2021 — 2026
  • Master of Engineering in IoT and Smart Systems
    Lebanese University — Faculty of Engineering, Tripoli (ULFG) · 2025 — 2026