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Franklin SilverioFS

Franklin Silverio

Data Scientist & Machine Learning Engineer

£108/day
Madrid, ES
3-7 years

Average response time: 1 hour

About Franklin

I turn industrial data into reliable machine learning solutions — covering predictive analytics, anomaly detection, and computer vision for manufacturing and automation environments.

I work with Python, deep learning, OpenCV, and data pipelines, delivering production-ready results with clear documentation.

I also integrate with PLC and SCADA systems when the project requires direct connection to the production floor, fully remote.

Pragmatic approach, direct communication, and deliverables that actually get deployed.
  • Spanish

    Native or bilingual

  • English

    Basic

Remote only
Primarily works remotely

Experience

  • Free Freelancing
    Automation engineer
    February 2025 - May 2025 (3 months)
    Freelance, Fasano, BR, Italy
    Temporary project for the design of an automated parking system.

    Industrial automation specialist with extensive experience in PLC programming (Siemens, Allen-Bradley, Schneider), SCADA/HMI design, and integration of sensors, VFDs, and robotic systems.

    Development of robust, scalable, and results-oriented solutions focused on process optimization, reduced downtime, and operational efficiency. Proven experience with Arduino, embedded systems, industrial AI integration, and industrial data analysis.
    plc SCADA Arduino
  • Imperial Tobacco;
    Sr. Production Supervisor
    June 2024 - February 2025 (8 months)
    Production management: design ofstrategies for process optimization. Production assistant Administration and design of production, quality, EHS indicators.
  • Ron Barceló;
    Quality inspector
    March 2020 - May 2020 (2 months)
    Inspect bottle quality prior to the filling process to prevent the inclusion of loose glass fragments in the container.
    Inspect the quality of box closures before they enter the production conveyor.
    Inspect the optimal tinting of labels and barcodes on both bottles and boxes.
    Use quality control charts to evaluate the percentage of defective products supplied by the vendor.

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Education

  • Specialization in Artificial Intelligence
    Udavinci
    2026
    This postgraduate specialization focuses on Machine Learning and Deep Learning, with applications in Computer Vision and Natural Language Processing (NLP). It covers the development and deployment of AI models for image analysis, pattern recognition, and language processing, with an emphasis on practical implementation and real-world use cases.
  • Master in industrial automation & robotics
    Technological Institute MasterD
    2025
    Design and programming of intelligent systems

Skill set

Categories