Prompt Engineering Practice
Worked on optimizing prompts and evaluating AI responses for clarity, accuracy, and bias.
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I am a detail-oriented Computer Science graduate with a strong passion for Artificial Intelligence, specializing in data annotation, labeling, and AI model training. My hands-on experience includes labeling and categorizing datasets to enhance model accuracy, designing and optimizing prompts to improve AI responses, and providing structured feedback to refine chatbot outputs. I am skilled in Python, prompt engineering, and machine learning fundamentals, and I excel at identifying and correcting inaccuracies or biases in AI-generated data. I am eager to contribute my critical thinking, problem-solving abilities, and attention to detail to innovative AI teams focused on developing intelligent systems.
Worked on optimizing prompts and evaluating AI responses for clarity, accuracy, and bias.
Performed text data annotation and response evaluation for AI language models. Reviewed AI-generated outputs for accuracy, bias, and relevance. Provided structured feedback to improve model performance and ensure high-quality training data. Followed strict quality guidelines and maintained consistency across labeling tasks.
Bachelor of Science, Computer Science
AI Trainer / Data Annotator