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ImageI am a Computer Science undergraduate with a strong foundation in physics, mathematics, and AI model evaluation. My experience includes evaluating and annotating AI-generated responses in physics and math, identifying logical errors, and producing step-by-step explanations to enhance large language model training. I am skilled in prompt engineering, error detection, and quality assurance, using tools such as Python (NumPy), Jupyter Notebook, LaTeX, and various data annotation platforms. I am passionate about ensuring data quality and clarity, and I thrive in roles that require analytical reasoning and attention to detail in AI training data workflows.
Labeled 2000+ images with bounding boxes for cars, pedestrians, and cyclists. Followed strict occlusion and truncation rules. Maintained 97%+ QA accuracy.
Bachelor of Science, Computer Science
Data Annotation Specialist
