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TextI am an experienced AI model trainer and data annotator with over 5 years of hands-on work evaluating, annotating, and refining large language model outputs, especially in STEM fields such as physics, computer science, and mathematics. My expertise includes RLHF annotation, prompt engineering, response evaluation, and comparative ranking, with a strong focus on identifying hallucinations, logical errors, and subtle factual inaccuracies in AI-generated content. I have authored thousands of expert-level prompt-response pairs and contributed to benchmark datasets that are now used by AI research teams to assess model reasoning. Proficient with tools and platforms like Python, C++, PyTorch, TensorFlow, Jupyter, Scale AI, LabelBox, and Toloka, I consistently maintain top-tier annotation quality and thrive in remote, deadline-driven environments. My background in computational physics and machine learning, combined with strong analytical and technical writing skills, enables me to deliver high-quality training data that drives measurable improvements in model performance.
Annotate and evaluate LLM outputs across physics, computer science, and mathematics domains, providing expert-level RLHF feedback to improve model reasoning and factual accuracy.
Bachelor of Technology, Computer Science Engineering
Salesforce Developer
AI Model Trainer & Data Annotator
