Quality engineer, team builder, and testing practitioner with a growing focus on AI reliability.
I've spent my career in quality assurance, not just running test cases, but thinking seriously about what testing is for, how teams can do it better, and what it means for a product to actually be reliable.
My background spans web, mobile, API, database, CRM, and AIML-based systems. I've done functional, integration, system, and regression testing, and built automation using Selenium and Appium with Python and Java. But the work I find most interesting is the stuff around testing strategy: helping teams figure out what to test, in what order, and why.
I founded Nethra Tech to focus specifically on AI and LLM testing, an area where I saw a genuine gap between how teams were building AI products and how they were (or weren't) testing them. Through Nethra Tech I consult on testing practices, run internships, and help early-career engineers build strong testing fundamentals. Separately, I work as Director of R&D at Qxf2 Services, where I focus on test strategy, automation, and mentoring engineers.
I'm based in Mangalore and I'm interested in working with companies that are serious about quality, particularly those building AI-powered products where the reliability challenges are genuinely new.
There's no universal testing playbook. What works for a fintech API is wrong for an LLM chatbot. I start by understanding the product, the team, and the risk, then decide what testing actually makes sense.
Test cases document what you already know. Exploratory testing finds what you don't. I practice and teach both, but the interesting failures always come from genuine curiosity about how a system behaves, not from running a script.
A QA team that works in isolation catches bugs late and creates bottlenecks. I focus on building testing practices that bring QA, engineering, and product together, so quality thinking happens throughout, not just at the end.
Finding a bug is only half the work. The other half is communicating it clearly: what it means, how serious it is, and what decision it calls for. I put as much care into how I report findings as into how I find them.
Products evolve, models get updated, teams change. A testing approach that worked six months ago may be obsolete today. I stay close to what's changing, especially in AI, and I bring that into every engagement.
One of the highest-leverage things a senior tester can do is make the testers around them better. I invest heavily in mentoring, through Nethra Tech's internship programme and in every team I work with.
Whether it's a consulting engagement, a conversation about your AI product, or an internship enquiry, get in touch.
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