Contributor
Suneet Malhotra is an independent practitioner-researcher in LLM-augmented software testing, with more than 20 years building and leading quality engineering for consumer-scale platforms — Tinder, Amazon (Ring), Live Nation/Ticketmaster, the Oprah Winfrey Network and Spokeo. His current research focuses on agentic SDLC pipelines orchestrated over the Model Context Protocol, LLM-as-a-judge evaluation methodology, self-healing test execution and cross-layer observability for autonomous agent fleets. Suneet is an invited program committee member for the Software Engineering in Practice track at ICSE 2027 and the single author of three software-engineering manuscripts currently under peer review at independent journals. He maintains open-source reference implementations at
github.com/SuneetMalhotra and holds an M.S. in computer science from the University of Southern California.
ContributorSuneet Malhotra is an independent practitioner-researcher in LLM-augmented software testing, with more than 20 years building and leading quality engineering for consumer-scale platforms — Tinder, Amazon (Ring), Live Nation/Ticketmaster, the Oprah Winfrey Network and Spokeo. His current research focuses on agentic SDLC pipelines orchestrated over the Model Context Protocol, LLM-as-a-judge evaluation methodology, self-healing test execution and cross-layer observability for autonomous agent fleets. Suneet is an invited program committee member for the Software Engineering in Practice track at ICSE 2027 and the single author of three software-engineering manuscripts currently under peer review at independent journals. He maintains open-source reference implementations at github.com/SuneetMalhotra and holds an M.S. in computer science from the University of Southern California.
