Ana Tudose
About Ana Tudose
Ana Tudose is a Senior Java Software Engineer at Endava, currently on maternity leave. She has extensive experience in software engineering, including roles at Lear Corporation, Visionware Romania, and DynICT.
Title and Current Role
Ana Tudose is a Senior Java Software Engineer currently on maternity leave. She holds a position at Endava, where she previously worked as a Java Software Engineer before being promoted to her current senior role.
Professional Background
Ana Tudose has a varied professional background in software engineering. She worked at Endava from 2017 to 2020 as a Java Software Engineer in Piteşti before becoming a Senior Java Software Engineer. Prior to Endava, she held the role of Senior System Engineer at Lear Corporation for one year. Ana also worked as a Microsoft CRM Programmer at Visionware Romania and an OpenERP Programmer at DynICT.
Educational Background
Ana Tudose studied at Universitatea din Pitești, earning a Master's degree in Modelling, designing, and management of software systems from 2013 to 2015. Earlier, she obtained her Bachelor's degree in Computer and Information Sciences and Support Services from the same university, spanning 2010 to 2013. She completed her high school education at Colegiul National "I.C. Bratianu," where she studied Mathematics and Informatics bilingually in French.
Achievements in Technology
Ana Tudose participated in and won the Grand Prize at the Microsoft Fabric Global AI Hackathon. Her project, PIInovators, involved developing a cloud-native data solution integrating Open AI for document analysis. The solution used Microsoft Fabric Lakehouse for data storage, classified documents into compliant and non-compliant categories, and prepared data for analytical use in Power BI reports. Ana worked on this project with team members Elena Donev and Slave Tasev.
Expertise in Data Solutions
Ana Tudose has extensive experience in data solutions, including anomaly detection in email datasets using Azure OpenAI. She developed a solution to transform unstructured email data into a structured format for reports. Additionally, she has expertise in automating synthetic data creation and reporting, as well as managing privacy risks through synthetic data generation techniques.