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Pranav Pandit

Staff Quality Engineer

Quality Engineering leader with 15+ years driving large scale mobile/web automation. Known for improving CI reliability, reducing flakiness, and advancing AI assisted testing practices across teams.

🎂 MoTaBirthday | January 20, 2026

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Chapter Lead

Thoughts before MoTaCon: Stability and Systems image

Thoughts before MoTaCon: Stability and Systems

Pranav Pandit's talk 'Stability is a system, not a metric: lessons from scaling mobile test automation', for quite a while the message of pushing automation as something that will fix our problems ...

18 Aug

Call for Insights turns 45 image

Call for Insights turns 45

On the 15th of January 2026 myself and Ujjwal Kumar Singh joined a call and pressed record. We were curious to see what would happen. A few weeks later I’d done the same with Neil Taylor and Clare ...

6 Jul

ALL the humans making MoTaCon 2026 happen image

ALL the humans making MoTaCon 2026 happen

The lineup is out and oh my... how exciting is it?These are the contributors we've announced publicly... but let me tell you something. Every single person walking through the Brighton Dome doors b...

19 May

🖖 Stability is a system, not a metric: lessons from scaling mobile test automation image

🖖 Stability is a system, not a metric: lessons from scaling mobile test automation

We are honoured to have Pranav Pandit join us this year in Brighton, all the way from San Francisco!Pranav will be on the main stage with a talk, where he'll share lessons from scaling a large mobi...

24 Apr

When AI maintains your tests: Designing safe self-healing automation image

When AI maintains your tests: Designing safe self-healing automation

Locator maintenance is the hidden tax of UI automation

4 Aug

Stability first: less coverage, more impact image

Stability first: less coverage, more impact

When has chasing automation coverage cost you more in maintenance than it gave back?

23 Jun

Pranav Pandit - Orchestrating AI driven quality engineering image

Pranav Pandit - Orchestrating AI driven quality engineering

Evolve from executor to orchestrator by integrating AI and holistic product insights to accelerate quality in high-stakes engineering environments.

27 Feb

Glossary Terms (1)

Deterministic automation Behavior where the same input always produces the same output under the same conditions. Traditional automation frameworks behave deterministically, making test execution predictable, repeatable, and easier to debug. So what? Deterministic behavior provides a reliable baseline for test automation. When failures occur, they are typically caused by changes in the application or test environment rather than variability in the automation itself. Example: A locator that consistently identifies the same button will always interact with that button until the UI changes.

Five practical ways to use AI as a partner in Quality Engineering This resonates. AI shifts QA from execution to orchestration. Focusing on framing problems, defining constraints and interpreting outcomes rather than just writing tests.

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When AI maintains your tests: Designing safe self-healing automation

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Thoughts before MoTaCon: Stability and Systems

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Contributions (16)

Moment (11) Insight (3) Glossary Term (1) Session (1)

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