Abhijeet Vaidya is a seasoned Data & AI practice leader with over two decades of experience and a 12-year track record in senior leadership roles driving data modernization, AI/ML, and cloud transformations for Fortune 500 clients. He has led large global delivery teams and P&L responsibilities—managing multi-hundred-million-dollar revenue targets and communities of thousands of engineers—to translate data strategy into measurable business outcomes for financial services and other industries. Known for bridging technical depth and commercial impact, he has architected large-scale data platforms, regulatory-grade governance (including BCBS 239 implementations), and end-to-end analytics programs across cloud and on-prem environments. Now leading Data & AI at Emids after practice leadership roles at LTIMindtree, Zensar and Cognizant, he combines enterprise delivery experience with recent formal study in AI from The University of Texas at Austin. Colleagues value his ability to turn legacy footprints into modern data estates and to partner effectively with hyperscalers and analytics vendors. Based in the Dallas–Fort Worth area, he blends engineering rigor with client-facing strategy and a persistent focus on operationalizing AI responsibly.
12 years of coding experience
17 years of employment as a software developer
Post Graduate Program in Artificial Intelligence , Post Graduate Program in Artificial Intelligence at The University of Texas at Austin
Rashtrasant Tukadoji Maharaj Nagpur University
E-Commerce/Electronic Commerce, E-Commerce/Electronic Commerce at SPJIMR SP Jain Institute of Management & Research
Open source platform for X.509 certificate based service authentication and fine grained access control in dynamic infrastructures. Athenz supports provisioning and configuration (centralized authorization) use cases as well as serving/runtime (decentralized authorization) use cases.
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