About

Kashish Mukheja is a self-motivated and professional computer science and engineering graduate with proven analytical and software programming skills. Currently working as a Software Quality Assurance Engineer 2 at Amazon, Kashish has over 3.35 years of relevant experience in the field. In her current role, she is part of the digital ordering execution team and has developed new hires by providing guidance and delegating projects. Kashish has also increased automation coverage to ~100% and the stability of team tier 1 services. Kashish has interviewed QAE Interns and FTE and has taken 30+ interviews till date. She mentors and leads new joiners in the team to successfully deliver results and assists the team in grooming in the right direction. Kashish has also led and delegated major project deliverables to ensure goals are not slipped. She drives key decisions and actionable insights for order execution metrics using statistical techniques. In her past roles at Amazon, Kashish has worked on various projects such as digital payments migration project launches, quality assurance for RBI compliant e-mandate eligible digital clients, and fixing flaky TestNg test cases in beta. She has also created baseline metrics and approaches involving Trimmed mean, ML forecasting in QuickSight, etc for org level pipelines to gain better insights on manual interventions and time to release and eschew the effect of outliers in such data. Kashish has added new features in Ruby on Rails & Java testNg framework to create test data for digital-payments integration project launch and developed a reporting tool that showcases metrics for Test Cases Execution report (success and failure rates) for digital orders. Kashish has a Bachelor of Technology - BTech degree in Computer Science from SRM University, which she completed in 2020. Kashish's tech stack includes QA, test, SQL, ML, software engineer, SDET, AWS, Ruby, Javascript, integration, Java, and Kotlin. Kashish is a result-oriented professional with a strong practical internship experience and a result-oriented approach to solving technical and business problems.