About Me
I’m an AI Trainer specialising in RLHF and data preparation for large language models, with 3+ years of experience improving how AI systems understand and respond to human intent.
My work focuses on creating and refining instruction–response pairs, evaluation datasets, and reasoning traces that teach models to think clearly, follow context, and align with human values.
I’ve worked on projects involving:
Reinforcement Learning from Human Feedback RLHF and preference data generation
Prompt and response evaluation for factuality, tone, and reasoning quality
Data curation and annotation pipelines for LLM training
Prompt engineering and context design for multi step reasoning tasks
I combine an engineer’s mindset with a deep understanding of how LLMs learn, helping teams produce the kind of structured, high signal data that actually makes models smarter.
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