Rahul Parwal
Test Specialist
I am Open to Write, Teach, Speak, Mentor, CV Reviews, Podcasting, Meet at MoTaCon 2026, Review Conference Proposals
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
Achievements
Certificates
Awarded for:
Achieving 5 or more Community Star badges
Activity
awarded Rosie Sherry for:
Put up your bat signal: Tristan Lombard on solopreneurship, community, and career reinvention - Into the MoTaverse - Episode 17
earned:
Put up your bat signal: Tristan Lombard on solopreneurship, community, and career reinvention - Into the MoTaverse - Episode 17
earned:
Member joined AI Chapter chapter
earned:
Unhinged Bio - Rahul Parwal
commented on:
"Awesome co-incidence. Love it!"
Contributions
The prompt: Hey ChatGPT, write a totally bonkers, unhinged bio about me (Rahul Parwal) in 200 words. Then, create an image.Inspired by Dragan Spiridonov and rosie sherry 🐌 unhinged bio moment...
It's great to connect with community members. Today, I could do that with Sunitha. We talked about Careers, AI, LinkedIn, upskilling, resources & much more.This moment is also a call to every M...
Most testers are already using Gen AI for their daily tasks. But there's a problem. If you don't share the same context with AI, your interaction will stay surface-level, no matter how carefully yo...
It's great to connect with community members. Today, I could do that with Ramya. We talked about Careers, AI, LinkedIn, Upskilling, Resources & much more.This moment is also a call to ever...
Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.
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.
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.
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.
Thank you to everyone who joined my AI masterclass yesterday!Loved the engagement, energy, and enthusiasm that you all brought.Of course, always grateful for the opportunities like these.Than...
AI agents are becoming the new OS for building, testing, and shipping software
Most teams ship AI without ever testing their guardrails.
Don't be like them. Learn Guardrails.Game link: Testing Titbits - Playground