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TextI am a Systems and Computing Engineering student with hands-on experience in AI training data workflows, including data labeling, annotation, and prompt engineering. My background includes supporting AI model improvement as an AI Trainer, where I used Python, prompt engineering, data annotation, and A/B testing to optimize model performance in English-speaking environments. I have a strong foundation in machine learning, having developed end-to-end ML workflows using CRISP-DM methodology and tools like Scikit-learn, TensorFlow/Keras, Pandas, and Azure data services. My work spans data preprocessing, model training, and performance evaluation, as well as translating complex results into actionable insights. I am passionate about applying my technical and communication skills to create high-quality, reliable AI training data and contribute to impactful data-driven solutions.
Used Prompt Engineering, Data Annotation, A/B testing, Python, and Docker to support the improvement of AI models' performance.
Bachelor of Engineering, Computer and Systems Engineering
Bachelor of Engineering, Computer and Systems Engineering
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