• Designed and implemented a high-performing framework for business report generation, surpassing legacy processes by 27% in terms of speed and accuracy and generating more than 1000 reports daily.• Implemented an architecture change by integrating SonarQube into the codebase and by reducing the build time for pipelines from 75 minutes to 8-10 minutes.• Automated 15+ Risk Reports for BU users improving and replacing legacy processes by 10%• Ingested risk data into Snowflake by creating an ETL parser to process more than 170GBs of data in 15 minutes• Migrated data from Sybase to Snowflake and IBM DB2, ensuring seamless data transfer and maintaining data integrity by designing ETL pipelines minimizing downtime, and maximizing efficiency.

Working under Dr. Evangelia Agapaki at Digital Twins lab, specifically Class Segmentation and Instance Segmentation of Digital Twins using CNNs in the Construction Industry and more.