Srikanth keshava | Activities
achieved:
This badge is awarded to members who join a Ministry of Testing Chapter.
earned:
Joined Sembi chapter
earned:
From test cases to AI-ready quality data: why structure matters
joined:
Sembi is a testing and security management leader, bringing together the industry’s premier tools for product and software quality. Formed by Idera, Inc., Sembi unites top brands under one roof, creating a powerful suite of solutions designed to help organizations build and maintain the highest levels of product quality. From automated testing to advanced security, Sembi’s portfolio provides solutions supporting every software development lifecycle phase.
In the MoTaverse you can find 4 Sembi brands: TestRail, Xray, Testmo and Ranorex.
Join this chapter to find out more about them and the team running them. Also make sure to find in the chapter Slack channel #chapter-sembi.
registered for:
Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.
achieved:
This badge is awarded to those that receive their first community star.
earned:
This Week in Quality
registered for:
Share your week’s highlights, challenges, and lessons in quality
achieved:
This badge is awarded to members who have updated their profile.
achieved:
This badge is awarded to those that joined the MoTaverse in 2026.
achieved:
This badge is awarded to members who have signed up as a Club member.
achieved:
This badge is awarded to those who subscribe to the MoTaverse Weekly newsletter.
Srikanth keshava
Ai assurance lead
I’m an AI Assurance and Quality Engineering Lead with 17+ years of experience across enterprise technology, quality engineering, integration and digital transformation.
My current focus is on Generative AI, AI assurance and governance. I’m working with Azure AI Foundry, Azure OpenAI, Azure AI Search and Retrieval-Augmented Generation (RAG), building enterprise knowledge solutions and developing practical approaches to evaluate their quality, reliability and risk.
My work covers AI evaluation including groundedness, retrieval relevance, completeness and response quality, as well as human review, source traceability and assurance of GenAI and agentic AI solutions.
