Image Food Detection
Labeling more than 150 different kinds of food to calculate calories for each food.
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I am an AI Engineer with a strong background in data preparation, annotation, and evaluation for machine learning and large language models. My experience includes working extensively with text, code, and image data, where I focus on data quality, clarity, and alignment with model training objectives. I have hands-on experience designing custom annotation workflows using Python, pandas, and NumPy, as well as generating and validating high-quality datasets for NLP and generative AI tasks. I have contributed to AI training through projects involving LLM evaluation, prompt-response assessment, question generation, and multimodal analysis. Notably, I worked on an AI-powered educational platform for children, where I helped generate, review, and refine Python-related questions, explanations, and code outputs to ensure correctness and age-appropriate understanding. With a solid foundation in AI, NLP, and computer vision, I bring a detail-oriented, quality-focused approach to AI training tasks and continuously aim to improve model performance through accurate and consistent data labeling.
Labeling more than 150 different kinds of food to calculate calories for each food.
Bachelor of Computer Science, Artificial Intelligence
Certificate, Generative AI Professional Track
AI Engineer