I am an IT Director working at the intersection of enterprise delivery and applied AI research. My focus is building practical, repeatable ways to use GenAI safely and effectively in large, regulated organizations - especially where legacy systems, complex architectures, and high stakes reliability are the norm. My talks translate research into patterns teams can adopt: AI-assisted reverse engineering and documentation, modernization risk reduction, human-in-the-loop quality gates, and measurement frameworks that keep projects honest. I enjoy speaking for community colleges, meetups, conferences, podcasts, and public forums. Audience members leave with clear mental models, actionable steps, and a realistic view of what works (and what does not) in production.

LinkedIn - https://www.linkedin.com/in/ankurkalohia/
EPAM Blog - https://www.epam.com/insights/blogs/mainframe-modernization-roi-a-cost-focused-guide-for-businesses
EPAM Solutions Hub -
https://solutionshub.epam.com/blog/post/cobol-code
Papers indexed at SSRN as below
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055934 - Leveraging Generative AI for Extracting Business Requirements from Legacy COBOL and PL/I Code
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055954 - Transitional-State Architectures for Hybrid Mainframe-Cloud Modernization with AI-Derived Code Intelligence