Ashita Goyal is a software quality engineering professional with nearly a decade of experience designing intelligent test automation frameworks, leading quality initiatives, and driving software excellence for enterprise-scale applications. Her expertise spans AI-assisted test automation, LLM safety, indirect harm detection, API validation, accessibility compliance, release governance, risk-based testing, and quality engineering strategy across cloud computing and healthcare technology domains.
Currently, Ashita serves as a Senior Software Quality Engineer at ServiceNow, where she plays a key role in ensuring the quality and reliability of customer-facing platform products used by organizations worldwide. She has led AI-assisted test automation initiatives, modernized enterprise automation frameworks, and developed comprehensive testing strategies that improve software quality while accelerating release cycles. Her work includes validating AI-powered product capabilities, evaluating LLM behavior for safety and reliability, and identifying critical indirect harm and content safety risks generated through prompt-based interactions, helping strengthen the trustworthiness of AI-enabled enterprise applications. She has also led accessibility validation initiatives and release readiness programs that have reduced defect leakage and improved overall product quality.
Prior to joining ServiceNow, Ashita spent more than four years at XIFIN, a leading healthcare technology company, where she architected scalable UI and API automation frameworks that significantly improved testing efficiency and software quality. She pioneered automation solutions using Selenium, Java, TestNG, and Rest Assured, led framework adoption across engineering teams, and developed integrations that streamlined quality assurance processes within a highly regulated healthcare environment.
Throughout her career, Ashita has demonstrated expertise in intelligent automation, enterprise quality engineering, continuous integration and delivery practices, AI-assisted software validation, and quality leadership. She has mentored engineering teams, driven cross-functional quality initiatives, and contributed to the successful delivery of large-scale software systems by combining technical depth with a strong focus on software reliability, AI safety, accessibility, performance, and user experience.
Ashita holds a Master of Science in Computer Science from California State University, Los Angeles, and a Bachelor of Engineering in Information Technology from Rajiv Gandhi Proudyogiki Vishwavidyalaya. She is passionate about advancing intelligent software quality practices and enabling the responsible adoption of AI through scalable automation, rigorous validation, and secure, user-centric engineering solutions.