工作经历

• qs engineer - telecom

  中华国际

  2025.09-至今

  (8 个月)

  Enhanced MMS with AI-driven automation, improving data accuracy and reducing errors by ~20%. Developed Maintenance Dispatcher system to optimize workshop performance and fault logging. Monitored training programs and compared reported vs actual faults, boosting operational accuracy by 15%. Analyzed maintenance data to drive actionable improvements and streamline processes. Nov 2022
• Maintenance Dispatcher Team Leader

  AVIC - LRT

  2022.11-2023.08

  (10 个月)

  Managed maintenance operations across multiple railway systems (signaling,rolling stock, telecommunications, AFC). Coordinated subcontractors and improved team efficiency, reducing downtime by 15%. Ensured compliance with safety and project delivery standards in collaboration with the French company “RATP”. Sep 2021 Aug 2022
• Train Driver Supervisor & Rolling Stock Engineer

  AVIC International Holding Corporation

  2021.09-2022.12

  (1 年)

  Oversaw the delivery and testing of trains at Alexandria Port, ensuring compliance with project specifications. Conducted high-speed running testing & commissioning with stakeholders (Ministryof Transport, project owners, consultants). Trained and supervised 40+ French operating company (RATP) drivers, ensuring operational readiness for project launch. Supervised handover processes, coordinating with CRRC and project stakeholders. Supported CRRC engineers in train commissioning, fault detection, and system adjustments. Led preventive and corrective maintenance for Rolling Stock systems ensuring lifecycle optimization and compliance with QCD & EHS standards.
• Rolling Stock technologist

  CRRC Qingdao Sifang Rolling Stock Corporation (China)

  2021.09-2022.12

  (1 年)

  Oversaw the delivery and testing of trains at Alexandria Port, ensuring compliance with project specifications. Conducted high-speed running testing & commissioning with stakeholders (Ministry of Transport, project owners, consultants). Trained and supervised 40+ French operating company (RATP) drivers, ensuring operational readiness for project launch. Supervised handover processes, coordinating with CRRC and project stakeholders. Supported CRRC engineers in train commissioning, fault detection, and system adjustments. Led preventive and corrective maintenance for Rolling Stock systems ensuring lifecycle optimization and compliance with QCD & EHS standards
• Electric Train Driver

  Shenzhen Metro Company (China)

  2021.09-2022.08

  (1 年)

  Oversaw the delivery and testing of trains at Alexandria Port, ensuring compliance with project specifications. Conducted high-speed running testing & commissioning with stakeholders (Ministry of Transport, project owners, consultants). Trained and supervised 40+ French operating company (RATP) drivers, ensuring operational readiness for project launch. Supervised handover processes, coordinating with CRRC and project stakeholders. Supported CRRC engineers in train commissioning, fault detection, and system adjustments. Led preventive and corrective maintenance for Rolling Stock systems ensuring lifecycle optimization and compliance with QCD & EHS standards

教育经历

• University of Electronic Science and Technology of china

  AI & Machine Learning

  2024.09-至今

  (2 年)

  Railway Defect Detection with Explainable AI Designed and implemented an AI-powered defect detection system for railway infrastructure using YOLOv8, enabling real-time, high-accuracy inspection. Integrated Grad-CAM and SHAP to deliver visual and feature-based explanations for AI predictions, improving model transparency and trust for operators. Led the data lifecycle — collecting, annotating, and processing a 2,000+ image dataset for defect/non-defect classification. Deployed the solution on both cloud-based and edge-friendly environments, ensuring operational flexibility. Tech Stack: Python, PyTorch, YOLOv8, Roboflow, Label Studio, OpenCV, Google Colab.
• Nanjing University of Information Science technology

  Artificial Intelligence

  2023.08-2024.08

  (1 年)

  Railway Defect Detection with Explainable AI Designed and implemented an AI-powered defect detection system for railway infrastructure using YOLOv8, enabling real-time, high-accuracy inspection. Integrated Grad-CAM and SHAP to deliver visual and feature-based explanations for AI predictions, improving model transparency and trust for operators. Led the data lifecycle — collecting, annotating, and processing a 2,000+ image dataset for defect/non-defect classification. Deployed the solution on both cloud-based and edge-friendly environments, ensuring operational flexibility. Tech Stack: Python, PyTorch, YOLOv8, Roboflow, Label Studio, OpenCV, Google Colab.
• MITU Misr International Technological University

  Industrial Automation

  2021.09-2023.07

  (2 年)

  Industrial Automation
• Nanjing Railway Vocational & Technical College

  Railway Technology & Urban Rail Transit

  2019.09-2021.06

  (2 年)

  Railway Engineering

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