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RLHFWhile I have not worked in a dedicated data-labeling role, I have extensive experience building and evaluating AI systems, particularly RAG applications, AI agents, and LLM-powered solutions. As the founder of Mizan AI, I developed systems that monitor AI outputs, detect failures, distinguish between expected and unexpected behavior, and help improve response quality across multilingual environments. This work involved defining evaluation criteria, analyzing model outputs, identifying failure patterns, and creating feedback loops to improve AI performance and reliability. I have also worked directly with customers deploying AI solutions, reviewing AI-generated responses, validating accuracy, and helping establish quality standards for production systems. This experience has given me a strong understanding of AI evaluation, annotation principles, data quality, and the importance of consistent labeling and feedback in improving model performance.
Yes – I have experience evaluating, classifying, and improving AI outputs as part of building and operating AI/RAG systems, although I have not worked in a dedicated data-labeling role
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Founder & Software Builder — Mizan AI Oct 2025 – Present Founded and built an AI reliability and RAG observability plat
