Poornima Nagesh

Quality and AI evaluation Lead | AI-Augmented QA | Test Automation Architect

She/Her

Quality Engineering Leader building scalable test automation ecosystems and AI-powered quality workflows — from LLM-powered test generation to self-healing frameworks and intelligent defect triaging. Passionate about mentoring engineering teams, aligning QA strategy with business goals, championing shift-left practices, and using AI as a strategic layer to reshape how quality is delivered at scale.

🎂 MoTaBirthday | July 7, 2025

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Attending MoTaCon 🤝

Moments (11)

Leaders Dinner - London Editiion

Our first Leaders Dinner, the London Edition. Sponsored by the wonderful TestMu AI

4 Oct

Moment of inspiration

I met the women who stood out as an inspiration to keep growing..@Rina - creator of a successful app, amazing parent and our one of our lovely MoTaCon sponsors..Met Rina at leaders dinner and conve...

1 Oct

Engineering management - new pathways

MoT is not just for QAs but also for those who want to grow and transfer their skills in EM ❤️❤️

1 Oct

What a welcoming group in the Leaders Dinner (London Edition)

Thanks to TestMu and Diana for organising this lovely bunch. Thoroughly enjoyed and now looking forward to what comes next in Birmingham!

29 Sep

Insights (1)

What's the simplest guardrail you've used that had the biggest impact?

Sometimes the most effective guardrail isn't the most sophisticated one

21 May

Sessions (1)

Practical impact of AI on today’s engineering management

A panel discussion exploring how AI is really affecting engineering teams today, from tool adoption and team confidence to testing, leadership, and the risk of over-relying on automation.

10 Jul

Comments (3)

So happy to meet Poornima It was so lovely to meet you too Rosie.. look forward to be part of more MOT sessions ❤️❤️ AI Guardrails Masterclass 🧡🚀 i have pro membership - where do i find recording please Drop a quality comment to win your place at Leading With Quality Quality is not just the absence of bugs — it’s the extent to which a product delivers value, meets user expectations, functions reliably, and is accessible, secure, performant, and user-friendly across all intended use cases and platforms.

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Badges (22)