Trends
Interview with Gokul Choudhary: AI redefines QA
As AI becomes increasingly integrated into everyday technology, the role of Quality Assurance (QA) engineers is also shifting. We recently had the opportunity to speak with Gokul Choudhary, an experienced QA engineer currently working at Tech Mahindra , who has spent over a decade in software testi…
Headline
As AI becomes increasingly integrated into everyday technology, the role of Quality Assurance (QA) engineers is also shifting. We recently had the opportunity to speak with Gokul Choudhary, an experienced QA engineer currently working at Tech Mahindra , who has spent over a…
Context
As AI becomes increasingly integrated into everyday technology, the role of Quality Assurance (QA) engineers is also shifting. We recently had the opportunity to speak with Gokul Choudhary, an experienced QA engineer currently working at Tech Mahindra , who has spent over a decade in software testing and more than two years specialising in AI-driven applications. With over a decade in software testing, Gokul Choudhary has a diverse QA background, covering mobile, desktop, and web applications. His expertise spans e-commerce, healthcare, banking, and voice applications. Recently, he’s concentrated on AI testing at Meta, working with smartwatches and smart glasses to ensure accurate AI commands and responses. His extensive experience with major social media platforms and Agile certifications positions him as a significant player in the evolving QA landscape.
Evidence
Pending intelligence enrichment.
Analysis
Sure. When it comes to AI, let’s take the example of smart glasses. When we give a command, like asking, “What is the weather now?”, the AI connects to a database or an API to fetch the response based on the current location. We test the basic functionalities to ensure that the AI responds within a given time frame. With traditional software, you might need to type commands or inputs manually. However, AI allows for voice commands, which makes it much faster and more convenient, especially when you’re on the go or unable to type. This is one of the key advantages of AI—it speeds up processes and enhances user experience by providing quick responses in real-time, but it lacks the intuition to understand context and nuance. Actually, for AI testing, we don’t rely on any specific automated tools. Most of the testing is done manually. We work with Generative AI, like prompt-based AI models, and use natural language commands to interact with the AI. For example, in Meta’s AI, we activate the device and issue commands. The AI processes these commands and responds accordingly. It also stores voice commands and their responses in a chat format within the connected mobile app. This allows us to review and cross-check all interactions.
Key Points
- BTW media recently had the opportunity to speak with Gokul Choudhary, an experienced QA engineer currently working at Tech Mahindra.
- Recently, he has been focusing on AI testing, working on innovative projects at Meta (formerly Facebook) that involve AI-driven functionalities for smartwatches and smart glasses.
- His deep experience with leading social media platforms like Facebook, WhatsApp, and Instagram, combined with his Agile software testing certifications, has made him a key figure in the evolving landscape of software and hardware QA.
- Tech Mahindra, a prominent player in the global IT services and consulting industry, is renowned for its commitment to innovation and excellence.
- The interview with Gokul Choudhary offers a compelling glimpse into the evolving role of Quality Assurance (QA) in the realm of artificial intelligence.
Actions
Pending intelligence enrichment.
