During my internship at Samsung, I contributed significantly to the TV ad delivery systems:Log Analysis and Issue Identification: Meticulously analyzed over 100 complex TV ad serving logs, pinpointing various issues, thereby enhancing system efficiency.Algorithm Design and Implementation: Developed parsing and abstraction algorithms in Go, automating critical ad serving issue detection, like blank impressions and incorrect log formatting, improving operational accuracy.Concurrent Processing and Efficiency Boost: Applied concurrent processing techniques to handle AWS S3 log data, achieving a 95% reduction in issue resolution time and boosting productivity.Tool Development and Launch: Spearheaded the development and launch of a log parsing tool, now integral across teams for rapidly identifying and addressing TV ad delivery issues.Front-End Process Optimization: Conducted research to identify front-end bottlenecks in TV auditing, then designed a solution using GraphQL scripts for direct backend interaction, streamlining the process.Automation and Tool Integration: Created a Python script for automating the auditing process using GraphQL scripts, enhancing efficiency and precision in ad campaign testing.This experience allowed me to apply my academic knowledge to real-world software engineering challenges, providing valuable insights into the tech industry.

Led a 200+ hour service project which designed and built a more efficient storage system for a local woman’s shelter, Heart and Home.Led Troop 66 for 1 year as the Senior Patrol Leader.