chepkirui dorothy

I’m a detail-oriented AI Trainer focused on Reinforcement Learning from Human Feedback (RLHF), response ranking, and prompt optimization. I evaluate and rank AI-generated responses for accuracy, relevance, and reasoning quality, then apply RLHF techniques to improve large language model outputs. I also design and test prompts for code generation and debugging, and provide structured feedback to help address model weaknesses. Alongside my RLHF work, I write technical content that helps developers build with confidence—publishing step-by-step tutorials and documentation on Python, Django, ORM, and APIs. I’ve created beginner-friendly, real-world resources (including examples integrating Python with communication APIs), and I bring a strong backend mindset to my writing and dataset work. I aim to produce consistently high-quality outputs and clear guidance that make AI systems and developer workflows more reliable.