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Emmanuel M. — Junior AI Automation Engineer from Philippines

Emmanuel M.

Junior AI Automation Engineer

Philippines 1-2 years
Open to offersNew to Platform
Languages
EnglishTagalog
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About

Emmanuel M. is an accomplished AI and automation specialist with extensive experience in developing innovative applications and systems in the tech and engineering sectors. His expertise in Python programming, PyTorch, and TensorFlow contributes to building efficient AI-driven solutions. At Shef, Emmanuel executed a groundbreaking multimodal AI recipe assistant leveraging LangChain and FastAPI to enhance ingredient detection and reasoning through advanced machine learning models. His work at GradeFit involved creating a comprehensive resume analysis tool utilizing React and Vite. His contribution as an Automation & Validation Engineer at AMS-OSRAM saw him implement workflow automation across multiple machines. Emmanuel also showcased his skills in hardware-software integration with projects like the AI-Powered Fire Detection System and the AI Visual Inspection System for Power Semiconductors. A holder of a BS in Computer Engineering from FAITH Colleges, Emmanuel has advanced certifications in AI including Microsoft's Azure AI Fundamentals and IBM's AI Fundamentals.

Experience

  • Multimodal AI Recipe Assistant

    Shef · 2026 — 2026
    Developed a multimodal AI web application utilizing FastAPI, LangChain, and Vanilla JS for automating recipe searches and ingredient extraction through text, voice, and image inputs.

  • AI-Powered Resume Analysis & Feedback Pipeline

    GradeFit · 2026 — 2026
    Created a full-stack web application using React, Vite, and Tailwind CSS to streamline resume analysis with ATS keyword checking and skill improvement suggestions.

  • Automation & Validation Engineer (Intern)

    AMS-OSRAM Calamba · 2026 — 2026
    Implemented a workflow automation system across multiple machines to enhance user experience by replacing manual processes with a digital validation pipeline.

  • AI-Powered Fire Detection and Automated Suppression System

    Company not specified · 2025 — 2025
    Developed an AI automation pipeline that integrated YOLOv11 and thermal validation for detecting fire and controlling suppression systems.

  • AI Visual Inspection System for Power Semiconductors

    Company not specified · 2025 — 2025
    Constructed an end-to-end AI pipeline employing YOLOv8n and CNNs for visual inspection, successfully managing the lifecycle from data annotation to model deployment.