Poornima Nagesh | Moments
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Your test cases are the context AI agents are missing. See how the Testmo MCP connects them in this free webinar.
Our first Leaders Dinner, the London Edition. Sponsored by the wonderful TestMu AI
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 l...
MoT is not just for QAs but also for those who want to grow and transfer their skills in EM ❤️❤️
Thanks to TestMu and Diana for organising this lovely bunch. Thoroughly enjoyed and now looking forward to what comes next in Birmingham!
Was such great start of the week with MotaCon festival week in London meeting few leaders from the community. A lot of great convers...
Being part of leaders dinner tonight at London, met so many wonderful leaders and inspiring people from our community. Lot of chats ...
1,000 songs in your pocket changed how the world listened to music. The MoTaverse changes how tech professionals grow their careers.Sixte...
A heartfelt thank you to MoT for the Slack community! 💜Over the years, I've attended many QA seminars, technical workshops, and con...
One of the question asked to me at leading with AI event was - are you both colleagues? how do you know each other?And the answer was: No...
I attended a conference on AI in testing today, and I walked out with more ideas, questions, and energy than I came in with.Every session...
It was very cool to meet Poornima yesterday at MoT London.Love her style and energy!And many thanks to Scale Factory for sponsoring MoT L...
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.
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