Software Engineer
CurrentDeveloped a scalable React.js dashboard that replaced Power BI with advanced filtering functionalities for historical and machine learning-based gas sendout predictions, achieving 90% cost efficiency; streamlined access management with a web-based application featuring tracking and reporting capabilities, enhancing organizational transparency and efficiency; built and integrated a machine learning classification model into a Swift iOS application for automated gas meter readings, achieving 95% accuracy, significantly reducing human error, and saving time in field operations; automated daily summary reports using Python and Pandas, improving reporting processes and enabling effective machine learning model training; and implemented automation for data verification processes that previously took multiple days, reducing the time to just minutes.