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AI Governance and Responsible AI professional with ~4 years of experience delivering AI oversight, compliance, and governance operations across diverse enterprise environments. I specialize in applying ISO 42001 - AI Management System and the NIST AI RMF to design governance controls, perform structured model reviews, and produce audit‑ready AI documentation. Experienced with IBM watsonx.governance for model lifecycle oversight, evaluation readiness, lineage validation, and AI Factsheet governance; and with IBM OpenPages for risk, controls, and GRC‑aligned governance workflows. My background includes multi‑project AI governance delivery at HCLTech’s Office of Responsible AI & Governance (ORAIG) and foundational governance leadership in the Infosys Responsible AI Office, contributing to enterprise‑wide ISO 42001 implementation, AI policy design, governance process development, and audit preparedness. Focus areas: • AI Governance & Responsible AI • ISO 42001 • NIST AI RMF • Model Lifecycle Oversight • AI Risk & Control Assessments • IBM watsonx.governance • IBM OpenPages • Governance Documentation & Audit Evidence
Rashtrasant Tukadoji Maharaj Nagpur University
Bachelors of Engineering · Information Technology
August 6, 2017 – August 1, 2021
Cultural Fit Analysis
The psychometric test score of 0 means there is no objective data to assess cultural fit aspects such as work attitude, stress handling, or team collaboration. Therefore, a definitive assessment of cultural fit is not possible based on the provided test data.
Soft Skills & Operational Fit
The resume indicates experience in 'stakeholder alignment,' 'collaborated with engineering, IT, and compliance teams,' and 'delivered 100+ Responsible AI enablement sessions,' suggesting potential for strong collaboration and communication. However, the psychometric test score of 0 provides no objective data to assess logical reasoning, work attitude, stress handling, or team collaboration. Therefore, a definitive assessment of soft skills and operational fit is not possible based on the provided test data.