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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An evening filled with conversations, discussions, exchanging thoughts with known and new faces. The video is just a snapshot - in reality it was much more fun filled, energetic and loads of ...
11 Oct
In between the conversations, some chit chats and waiting for MoToGraphy - clicked this pic with Ady and Rahul
4 Oct
Our first Leaders Dinner, the London Edition. Sponsored by the wonderful TestMu AI
4 Oct
I enjoyed Rahul’s workshop on Context Engineering For Testers. Context engineering is a vast and complex topic as we can see in this slide(from Rahul’s workshop) where most of us are lost while tr...
4 Oct
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
(132)
Great conversations in corn exchanges with Ady and Rahul
Cheers to MoTaCon fun!
Meeting Susanne Abdelrahmen at MoTacon 2026
You will always get good help in MoTaCon.
Your moment is a testimony of that.
Context engineering with Rahul
It was great having you at the workshop. thanks for your valuable feedback and this awesom moment.
Leaders Dinner - London Edition
it was a fab evening! thank you to TestMu and MoTaverse for making this possible.
Finding surprise selfies the morning after MoTaCon
Haha, so cool! Love it!
Teaching the agent to hunt: why execution alone will never produce exploratory testing
(shiftsync.tricentis.com)
28 Sep
11 Sep
Thanks for your contribution
An Evening of Connections - Dinner Organised by TestMu AI
Community Star
about 5 hours ago
Attended an event
AI, Actually: Engineering Reliable Agents, Leading Real Change
Community Star
about 7 hours ago
Thanks for your contribution
An Evening of Connections - Dinner Organised by TestMu AI
Community Star
about 10 hours ago
Leading with Quality 2026 Attendee
This badge is awarded to those who have attended Leading with Quality 2026.
Badge Award
about 10 hours ago
