Machine Learning and AI Data Specialist with hands-on experience in data annotation workflows, AI prompt engineering, and model response evaluation. Background in Chemistry with strong analytical reasoning and scientific problem-solving skills. Experienced in multi-domain data labeling, quality assurance, and structured dataset generation for computer vision and language models. Familiar with Python-based data processing, PyTorch experimentation, and ML life-cycle concepts. Detail-oriented and highly adaptable in fast-paced remote AI environments.