H

Hadi Chamas

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London, England, United Kingdom

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Résumé


Jobs verified_user 0% verified
  • J
    Production Controller
    Johnson Matthey,
    Apr 2023 - Apr 2024 (1 year 1 month)
    • Managed and optimized the Master Production Schedule for high-efficiency manufacturing. • Designed "recipes" for production batches to reduce waste and improve accuracy. • Conducted data analysis using Excel, Access, and PowerBI to support decision-making.
  • H
    Supply Chain Analyst
    Hadher Group,
    Jul 2019 - May 2023 (3 years 11 months)
    • Improved inventory and reduced overstock risks using custom supply chain models. • Negotiated vendor contracts and coordinated supply chain strategies across teams. • Utilized Claude to draft and refine internal reports, optimizing supply chain documentation and exploring automation ideas through natural language interfaces. • Supported social media marketing efforts by analyzing logistics data for promotional content, contributing to campaigns that effectively highlighted delivery efficiency and product availability. • Leveraged Tableau to visualize logistics performance, supplier lead times, and inventory turnover metrics, creating dashboards that communicated key supply chain insights to senior management in a clear, visual for
Education verified_user 0% verified
  • L
    AI and Machine Learning Bootcamp
    LSBU
    Jan 2025 - Apr 2025 (4 months)
  • London South Bank University
    MSc Applied Artificial Intelligence
    London South Bank University
    Sep 2024 - May 2025 (9 months)
  • I
    Process Safety Workshop
    IChemE
    Jan 2023
  • London South Bank University
    BEng Chemical and Energy Engineering
    London South Bank University
    Sep 2020 - Jun 2023 (2 years 10 months)
Projects (professional or personal) verified_user 0% verified
  • London Southbank University
    Toxic Comment Detection App
    London Southbank University
    Sep 2024 - Current (1 year 10 months)
    - Built a full-stack Python app using NLP to classify and flag harmful comments on social media. - Used Scikit-learn and TF-IDF for vectorization and model training. - Deployed model in a web interface using Flask and HTML. - Evaluated model using precision, recall, F1-score metrics. - Integrated advanced techniques by leveraging ChatGPT and Claude for improved prompt engineering and evaluation of toxic phrasing, which guided the model's behavior effectively. - Explored Gemini and Google Veo 3 for multimodal input testing, benchmarking performance in real-world scenarios to enhance the app's robustness and accuracy. - Utilized Microsoft Excel extensively for managing and preprocessing datasets sourced from online platforms, which was
  • London Southbank University
    UAV-Based Agentic AI System for Search and Rescue
    London Southbank University
    Sep 2024 - Current (1 year 10 months)
    Developed a prompt-driven AI framework using UAVs for autonomous emergency response. Key achievements: - Implemented deep reinforcement learning for real-time UAV navigation. - Integrated YOLO-based object detection models for human recognition. - Designed a simulation testbed for validating system performance with real-world data. - Leveraged ChatGPT and Claude to enhance the development process by brainstorming prompt-driven workflows, debugging Python code, simulating agent conversations, and fine-tuning prompts for decision-making tasks. Their integration significantly accelerated development, tested use cases, and validated logic across multi-agent systems, contributing to the overall success of the project. - Utilized Microsoft E