Rahul Parwal
Rahul Parwal
Test Specialist
Rahul Parwal is a Test Specialist with expertise in testing, automation, and AI in testing. He’s an award-winning tester, and international speaker.
Want to know more, Check out testingtitbits.com
🎂 MoTaBirthday | June 21, 2020
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Megan Ozanne's session reframed maturity models for me. Teams grow either by accident or by intention, and a maturity model is the support structure that steers growth in the right direction while ...
30 Sep
Leading with Quality with some of the most passionate folks in the industry.
#MoTaCon Begins! Session: Let's Mature This Conversation by Meagan Ozzane
30 Sep
Pre Pre MoTaCon Social 2026.MoTaCon - Let the fun begin!Excited for 2 days of countless memories, moments, and mischief.Come say "hi", if you are at #MoTaCon. I would love to chat with you.
29 Sep
Thanks to TestMu and Diana for organising this lovely bunch. Thoroughly enjoyed and now looking forward to what comes next in Birmingham!
29 Sep
AI agents are becoming the new OS for building, testing, and shipping software
7 May
Rahul Parwal and Rosie Sherry discuss how quality professionals can navigate AI adoption, avoid the noise, and find where human skill still matters most.
27 May
Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.
7 May
Reversal curse
A limitation of AI language models where training on "A is B" does not automatically teach the model "B is A." For example, a model that knows Tom Cruise's mother is Mary Lee cannot reliably answer who Mary Lee's son is.
Stochastic systems
A system that generates outputs based on probabilistic and statistical computations rather than fixed rules, meaning the same input can produce different results. In AI, this is what makes models appear clever but also unpredictable and prone to quality gaps.
[Ai tools] are non deterministic or like a better word is stochastic systems, which can predict data based on smart advanced mathematical operations, statistical computations, probabilistic data, calculus, uncertainty, and so on. And that is the reason why AI looks really clever. No matter what you ask to it, it is always ready to give you an answer.
Context poisoning
An attack in which a malicious prompt is injected into an AI system's active context, often with instructions to "forget" previous guidelines, granting the attacker control over the model's behaviour for the remainder of the session.
The malicious prompt can just say that forget everything which was told to you before and now just do this thing which I'm asking you to do. Now, if this happens, this is called context poisoning or context injection. And once you poison the context, then you can get anything and everything done out of any AI system.
Quality Engineering
Quality Engineering is a practical response to how software is built today. Instead of treating quality as a phase, QE treats it as a system. It’s embedded into design, coding, automation, infrastructure, observability, and the continuous feedback loops that guide decisions. Quality work now starts early, long before a single line of code exists.
RICE-Q
A framework that helps the AI gather the right context and not work as an alien.
R – Role: Ask the AI system to “act as a role”.
I – Instructions: This is the instruction that you give to the AI system.
C – Context: Describe the context about the purpose, feature, application, or system.
E – Example: Provide a sample of your expected output.
Q – Questions: Tell the AI system to ask you clarifying questions before answering or hallucinating.
Comments
(110)
Getting ready for MoTaCon on Thursday
All the best, Adam
Isn't NASA great? And is MoTaCon secretly everywhere?
ha ha
MoTaCon Vibes - People I Met at MoTaCon 2025 — Looking Forward to More in 2026!
See you soon!
Isn't it great? The counterintuitive truth behind the MoTaverse's Membership Model
I like the MoTaverse.
The Chapters are immense in potential and kind of balances a lot of counter-intuitive discussions. We have opened doors to more people than ever with the Chapters and we are commited to do it for more people in the times to come.
It's not only about what you do, but how you go about it.
i like this thought. I think a lot of people who understand craft and know their stuff will be able to add a massive value with "HOW".
The real value lies in HOW.
Teaching the agent to hunt: why execution alone will never produce exploratory testing
(shiftsync.tricentis.com)
28 Sep
11 Sep
Added to a Moment, expanded the MoTaverse
Let's Mature This Conversation: Growth by Intention
Community Star
less than a minute ago
Let's Mature This Conversation: Growth by Intention
Megan Ozanne's session reframed maturity models for me. Teams grow either by accident or by intention, and a maturity model is the support structure that steers growth in the right direction while ...
Moment
less than a minute ago
Amazing work
Thank you for wonderful. Talk and good session. It revised a lot of concepts for me on maturity models.
Community Star
6 minutes ago
