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Ronny S. — Mid-Level Biomedical Engineer from Ecuador

Ronny S.

Mid-Level Biomedical Engineer

Ecuador 1-2 years
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Languages
SpanishEnglish
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About

Ronny S. is an Ingeniero Biomédico with hands-on experience in clinical engineering and hospital maintenance within the healthcare industry. At Hospital Inglés Emci Cia.Ltda, he executed preventive and corrective maintenance plans for critical biomedical equipment, adhering to stringent patient safety standards and managing technical documentation and inventory control to optimize clinical engineering operations. As a freelance Ingeniero de Desarrollo de IA & Visión Artificial, Ronny led the end-to-end development of a full-stack web platform for radiological diagnostics, integrating YOLOv8m models (Flask backend, React frontend, PostgreSQL data management) to deliver real-time performance with deep learning for pathology detection. Additionally, he applied advanced Python and TensorFlow skills to optimize medical AI pipelines and implemented facial micro-expression recognition systems for telemedicine.

Experience

  • Ingeniero Biomédico de Soporte (Prácticas Profesionales y Pasantias)

    Hospital Inglés Emci Cia.Ltda
    Executed the preventive and corrective maintenance plan for critical biomedical equipment, ensuring compliance with patient safety regulations. Managed technical documentation and inventory control of spare parts for the Clinical Engineering department, enhancing response times for maintenance.

  • Ingeniero de Desarrollo de IA & Visión Artificial (Freelance)

    Company not specified
    Developed a Full-Stack Web platform for radiological diagnosis, integrating a YOLOv8m model (Backend in Flask) with a clinical interface in React and data management (PostgreSQL). Enhanced system performance to achieve real-time inference of 25ms and a total latency of less than 0.6s. Led the development of Deep Learning models for pathology detection in mammograms (Challenge MAMA-MIA) by optimizing CNN networks with TensorFlow and Python. Designed training pipelines for medical AI with nnU-Net, addressing compatibility issues in Linux/WSL2 environments to optimize GPU usage. Implemented a facial micro-expression recognition system for telemedicine, managing the preprocessing of biometric databases.

Skills & Expertise

AI and Data ScienceAI EngineerContent CreationResearchComputer Vision Engineer

Education

  • Ingeniero Biomédico
    Universidad Politécnica Salesiana · — — 2025