Quality Playbook Panel - The Test Tribe
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Session

The New Quality Playbook for AI-Speed Engineering

Outline

What we’ll cover in this session.

Software engineering is undergoing a velocity transformation. AI generates code in seconds. AI writes test cases from specs. AI reviews PRs, triages failures, and suggests fixes. Developers ship faster than ever – and the gap between what gets built and what gets validated is widening. The old quality model assumed time. Time for QA to review. Time for test cycles. Time to catch what slipped. That time is compressing to near-zero. This isn’t a QA problem – it’s an engineering problem. Organizations that treat quality as a QA team’s responsibility will ship broken products faster than ever. Organizations that embed quality into the system – the architecture, the process, the culture, the tooling – will win. This panel brings together leaders who’ve rebuilt how their organizations think about quality in an AI-accelerated world. The conversation is for the 400+ leaders making decisions about team structure and org direction, and for the 600+ practitioners who need to understand where their organizations are heading – so they can lead the change, not follow it.
We’ll walk through
01

Where agentic workflows actually earn their keep in a real QA pipeline — and the two places they quietly fail.

02

The four control surfaces to set up before an agent touches production: scope, evaluation, failure cataloguing, human-in-the-loop.

03

Patterns for flaky-test triage, regression pruning, and visual-diff arbitration with receipts from three production systems.

04

A reference architecture you can take back to Monday’s sprint planning, plus the metrics that prove it’s working.

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Host

C S Sriram

VP of Engineering

Betterworks white logo scaled
“C S Sriram is a technology leader who believes in outcomes over effort, people over process, and engineering over toil. He spends his days nudging the India division of Betterworks to believe in at least six impossible things before breakfast and then guiding them into making four of them come true. His nights are spent in reading and writing literature. “
He is currently investigating and transforming engineering, especially quality in engineering, through Generative AI.
Vishal Anand
Speaker

Vishal Anand

Director of Engineering and TPMO
symphonyai
Vishal Anand is a veteran engineering leader specializing in the intersection of Agentic AI, scalable product delivery, and next-generation automation. As the Director of Engineering at SymphonyAI, Vishal leads high-performing teams Building and Testing AI Application .
Bindu Parvathy
Speaker

Bindu Parvathy

Director – QC, Engineering
Deltek

“20+ years in enterprise software and cloud platforms — design, development, testing, and program leadership. For the past decade, I’ve led Quality Engineering and Product Development across globally distributed teams spanning the US, Brazil, China, and India.
My recent focus is AI transformation in quality engineering — not as a concept, but as something I’ve built. This includes architecting agentic test frameworks powered by LLMs, integrating AI evaluation pipelines into CI/CD, and redefining what quality engineering looks like when AI drives the development lifecycle”

Soumya Mukherjee
Speaker

Soumya Mukherjee

Sr.Principal Engg. – AI/ML
MAANG

Soumya Mukherjee is a Senior Principal Engineer at MAANG, where he leads a supply chain ML team building AI systems at global scale, spanning forecasting, RAG pipelines, explainability, and local LLM deployments. With 18+ years in the industry, he pivoted from Engineering into Machine Learning and AI, along the way starting his own consulting firm and building technology at Morgan Stanley. He is an Amazon-published author and a PhD researcher at IIT Patna working on explainable AI. A regular speaker at various conferences, he has mentored 500+ engineers across his career.

Catch this session live.

One pass, every talk, no parallel tracks. Super Early Bird ends when the next 200 seats are gone.

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