Redeemers University
Bachelor of Science, Mass Communication
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Experienced AI Training Data Specialist adept at data labeling, annotation, and model alignment for Large Language Models (LLMs) and computer vision. Proven expertise in multi-turn conversational data annotation, NLP alignment, and RLHF (Reinforcement Learning from Human Feedback). Skilled in curating high-quality evaluation datasets, crafting complex prompts, and performing precise semantic image segmentation to directly enhance model accuracy, safety, and contextual reasoning. What sets me apart is a meticulous approach to data quality assurance and a unique ability to navigate ambiguous edge cases with high precision. Fully proficient in industry-standard annotation platforms, I excel at translating abstract guidelines into structured, error-free training datasets. Combining strong analytical skills with a proactive commitment to mitigating data biases, I ensure machine learning models are trained on robust, reliable, and ethically aligned data, making me an invaluable asset to any AI development workflow.
Bachelor of Science, Mass Communication
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