Smarter Oversight For Safer Enterprise AI
See how expert-driven AI approaches can help enterprises modernize legacy systems, streamline automation, and maintain safety through smart oversight and governance.
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
I've spent over two decades working in enterprise technology as an AI and Cloud Solutions Architect. These days, I help Fortune 500 companies from sectors like BFSI, Pharma, Telecom, and Manufacturing navigate generative AI, agentic AI architectures, and cloud transformation. My journey has taken me through India's public-sector IT initiatives, global system integrators, and complex enterprise architecture projects, giving me hands-on experience across India, Germany, France, the Middle East (UAE & Qatar), Hong Kong, and Malaysia.
Right now, my main focus is something I call Legacy AI Augmentation. Instead of pushing companies to completely replace their mainframe or SAP-era systems, I use generative and agentic AI to help them get more value out of their existing technology. For example, I recently built a RAG-based validation system for SAP ABAP code changes, developed a multi-agent operations platform with CrewAI and Google’s Agent Development Kit for a Japanese manufacturing client, and worked on AI governance and fine-tuning for a European bank navigating the EU AI Act.
I’m certified in Azure AI Engineering, AWS Solutions Architecture, AI Governance (AIGP), Gen AI …
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