Ashitosh Chitnis

Ashitosh Chitnis is a distinguished researcher and technology leader in the fields of enterprise data architecture, artificial intelligence, and machine learning, with over 17 years of experience driving innovation across industry and academia. He has made original contributions to the design and implementation of AI-driven data governance frameworks, large-scale data lakehouse architectures, and compliance-focused analytics platforms. His work has been published across platforms such as ResearchGate and Google Scholar, covering topics including explainable AI for financial audits, machine learning for SAP-based fraud detection, and graph-based enterprise relationship analysis. At organizations like Google and Apple, Ashitosh has led the productionization of ML systems at petabyte scale, generating measurable business impact while contributing to research on operationalizing AI in regulated environments. He is also the author of a technical book on AI-powered data mesh for SAP and has received global recognition for his leadership in advanced analytics. His ongoing research interests lie at the intersection of data quality, model interpretability, and intelligent automation in enterprise systems.