Passionate about solving problems and interacting with customers/users.
• Development and maintenance of automated Excel reports (VBA, Excel)
• Enhancements and bug fixes for ERP system, database management (ASP.NET Web Forms, VB, Microsoft SQL Server)
• Developed and maintained the stock charts for a stock trading system (MFC application, C++)
• Research area: Deep learning medical applications
• Master's thesis: Classification of Arrhythmias with 12-lead ECG using Deep Learning (Python, C#, Pytorch)
– A deep learning framework for predicting 12-lead ECG, the research results were accepted and published on IEEE BHI
• basic understanding of Linux