Ion Calugher
About Ion Calugher
Ion Calugher is a QA Engineer at Endava in Chișinău, Moldova, with a background in auditing and accounting. He participated in the Microsoft Fabric Global AI Hackathon, winning the Grand Prize with a project focused on detecting personally identifiable information.
Current Role at Endava
Since August 2020, Ion Calugher has been working as a QA Engineer at Endava in Chișinău, Moldova. In this role, he is responsible for ensuring the quality of the software through rigorous testing and quality assurance practices. His position involves collaborating with the development team to identify and resolve issues, ensuring that the software meets the company's standards before release.
Previous Experience at Allied Testing
Ion Calugher worked as a QA Engineer at Allied Testing from 2018 to 2019 in Chișinău, Moldova. During his tenure, he conducted various testing processes to ensure the software's functionality and reliability. His role encompassed identifying bugs, developing test cases, and improving the overall quality of software products.
Educational Background
Ion Calugher has a strong academic background, having earned multiple degrees from Universitatea de Stat din Moldova. He completed his Master's degree in Audit from 2015 to 2017. Prior to that, he earned a Licentiate degree in Accounting from 2012 to 2015. His secondary education was completed at Constantin Negruzzi Theoretical Lyceum, where he earned a Bachelor's degree in 2012.
Hackathon Participation and Achievements
Ion Calugher participated in the Microsoft Fabric Global AI Hackathon, where he worked on a project called PIInovators. This initiative was a cloud-native data solution integrating Open AI for document analysis. The project focused on detecting personally identifiable information (PII) in files and images. Ion collaborated with a team from Skopje, North Macedonia, and their innovative solution earned them the Grand Prize in the competition.
Technical Skills and Projects
Ion Calugher has extensive experience with Microsoft Fabric and Power BI for data analysis and reporting. He has worked on projects that classify documents into compliant and non-compliant categories. Additionally, in one of his projects, he utilized a medallion architecture for data storage within Microsoft Fabric Lakehouse, leveraging modern data solutions to handle and analyze large datasets effectively.