Apirujee Woz

Physics graduate with coding experience, strong numerical ability, and a bachelor thesis in geophysics inversion optimisation. Comfortable working with mathematical models, complex data, analytical reasoning, and structured problem-solving. Interested in applying quantitative thinking to evaluate AI-generated scientific and mathematical work, identify errors, improve explanations, and support the development of more reliable AI systems.

Clear communicator in English with a curious, careful, and detail-focused approach. Now seeking a remote AI Trainer / quantitative reasoning role where I can combine physics knowledge, coding, data analysis, optimisation, and technical writing to review model outputs, solve quantitative problems, and provide useful feedback.

Quantitative AI Trainer Preparation at Self (2026 – Present)

Building practical skills aligned with AI evaluation and quantitative reasoning roles. Current focus is on refreshing physics, statistics, coding, and technical explanation skills so that AI-generated answers can be checked carefully for correctness, clarity, and reasoning quality.

• Practising Python-based analytical tasks involving calculations, data handling, and step-by-step problem solving.
• Reviewing physics, mathematics, optimisation, and statistics problems with a focus on identifying mistakes and explaining corrections clearly.
• Developing familiarity with concepts relevant to AI evaluation, including model reasoning, hallucination detection, prompt following, and evidence-based feedback.
• Strengthening practical statistics knowledge including regression, hypothesis testing, classification concepts, time-series forecasting, and experiment design.

Career Break at Self (2015 – Present)

Took a career break for home responsibilities while continuing to maintain and develop an interest in technology, coding, data, and analytical problem-solving. Now ready and motivated to return to professional work in a flexible remote role that uses quantitative background and technical learning ability.

• Maintained curiosity and independent learning in coding, data tools, scientific reasoning, and analytical thinking.
• Developed organisation, responsibility, adaptability, patience, and ability to manage tasks independently.
• Bringing maturity, reliability, and strong motivation to contribute to high-quality analytical work.

Bachelor of Science (BSc) in Physics – Mahidol University (2011 – 2014)

Bachelor thesis in Geophysics Inversion Optimisation – Mahidol University (2011 – 2014)