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Johan G. — Mid-Level AI Technical Evaluator from Brazil

Johan G.

Mid-Level AI Technical Evaluator

Brazil No experience yet
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Languages
SpanishPortugueseEnglish
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About

Johan S. is a seasoned Engineering Subject Matter Expert with a focus on AI training and technical evaluation. Currently a PhD candidate in Mechanical Engineering at the University of São Paulo, he is deeply involved in analyzing complex technical problems and evaluating scientific evidence. Johan’s expertise extends to aeronautical engineering, materials science, and additive manufacturing. His role as a doctoral researcher involves critical analysis of engineering problems using experimental data and peer-reviewed evidence, emphasizing structured and technically sound conclusions. Previously, he served as an Engineering Facilitator at UNIVESP, developing engineering learning activities and standardizing assessment criteria in a virtual learning environment. He also managed Safety Management Systems in aeronautics, focusing on KPI monitoring, risk management, and regulatory compliance. Proficient in tools like Python, ANSYS, and STAR-CCM+, Johan contributes to scientific research through peer-reviewed publications in engineering and advanced manufacturing. His multilingual capabilities include Spanish, Portuguese, and English.

Experience

  • Engineering Facilitator

    UNIVESP · 2022 — 2024
    Create and assess engineering learning activities and technical documentation within a virtual learning framework. Utilize structured grading criteria and rubrics to evaluate student assignments, enhancing consistency in assessment materials. Clarify engineering concepts and offer structured feedback to learners at varying levels of technical expertise.
  • Doctoral Researcher — Mechanical Engineering / Metal Additive Manufacturing

    University of São Paulo (EESC-USP) · 2022 — Present
    Analyze intricate engineering challenges by utilizing experimental data, established physical laws, and peer-reviewed research to reach structured, well-supported conclusions. Evaluate experimental datasets to uncover trends, inconsistencies, and relationships among variables, aiding in parameter selection and research choices. Conduct reviews of specialized scientific literature to scrutinize technical claims against available evidence, pinpointing limitations and gaps in knowledge. Generate and refine scientific and technical documentation in both Spanish and English, including manuscripts, reports, and methodologies. Employ Python and engineering analysis tools to convert experimental findings into quantitative insights for decision-making.
  • Safety Management System (SMS) Manager

    Aeroestructuras Leonor LTDA · 2016 — 2017
    Assist in monitoring KPIs, managing risks, ensuring regulatory compliance, and creating technical documentation in an aeronautical context.
  • Junior Aeronautical Engineer

    Couch Aviation SAS · 2014 — 2015
    Contribute to the manufacturing, inspection, MRO activities, and engineering documentation of aeronautical components.

Skills & Expertise

Education

  • PhD Candidate in Mechanical Engineering
    University of São Paulo — EESC-USP · — — 2026
  • MSc in Mechanical Engineering
    University of São Paulo (USP)
  • Specialization in Virtual & Distance Education
    UNIVESP
  • BSc in Aeronautical Engineering
    Los Libertadores University Foundation, Colombia

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