Ana Maria Sorici

Ana Maria Sorici

Testing Discipline Lead @ Endava

About Ana Maria Sorici

Ana Maria Sorici is the Testing Discipline Lead and Test Manager at Endava in the United Kingdom, and an Assistant Professor at NYU Tandon School of Engineering in Brooklyn, New York.

Company

Ana Maria Sorici is currently holding two positions at Endava in the United Kingdom. She serves as the Testing Discipline Lead and also holds the role of Test Manager. She has been with Endava since 2015, beginning as a Test Lead. Her experience also includes a stint at Stefanini Brasil as a Quality Assurance Engineer for a year before joining Endava.

Education and Expertise

Ana Maria Sorici has extensive academic credentials. She earned her Doctor of Philosophy degree from the University Politehnica of Bucharest, where she also completed a Master's degree. Additionally, she studied at Centralesupelec for her Bachelors and at Universidade Nova De Lisboa in Medical Engineering. Her educational background is rooted in various fields, including Engineering and Philosophy, which she pursued over a span of nearly a decade.

Professional Background

Ana Maria Sorici's professional journey includes roles at multiple reputable organizations. Before her current positions at Endava, she worked as a QA Engineer at Axway for three years in Phoenix, Arizona, and as a Test Specialist at IBM in New York City for a year. She spent four years as a QA Engineer at Ixia in Calabasas, California. Her diverse experience spans across different sectors and locations, adding depth to her professional profile.

Achievements

Ana Maria Sorici played a pivotal role in the Microsoft Fabric Global AI Hackathon, where her team, PIInovators, won the Grand Prize. They developed an innovative cloud-native data solution using Open AI for document analysis, particularly for detecting personally identifiable information (PII) in files and images. This solution categorizes documents into compliant and non-compliant types and is built on a medallion architecture within Microsoft Fabric Lakehouse, preparing the data for analytical use in Power BI reports.

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