Dynamic AI leader at Cisco with over 12 years of experience building enterprise-grade AI ecosystems. He specializes in engineering LLM agents, RAG frameworks, and cloud-native AI platforms on Azure and AWS, coupled with a focus on MLOps and Responsible AI governance.
He finds it fascinating that telling an AI model to “take a deep breath and think step-by-step” can dramatically improve the quality of its answers.
Read the full overview →They are quite likely to negotiate on pricing or other key terms. They prefer to do logical analysis and value evidence over emotions. They don’t appreciate bells and whistles unless backed by data.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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