Emma Luukkonen

During my most recent internship at Reddit, I increased the scalability and efficiency of real-time ad auction monitoring by designing and implementing a new Apache Flink monitoring application as part of the Ad Server team. This app optimized real-time monitoring by ingesting data from Apache Kafka data streams, parsing data using Flink stream-processing, and propagating data to a comprehensive Wavefront dashboard. As part of this project I also redesigned and expanded the monitoring process by scoping out and implementing new metrics to better detect outages and simplify incident root cause analysis.

Previously, I also interned at Ally Financial as a software engineering intern, and at ProModel as a software developer intern. At Ally, I streamlined virtual machine data analytics by creating an automation framework for capacity data reporting. This automation optimized Ally's capacity management and reporting by creating a predictive model for future storage growth. At ProModel, I optimized new web-app testing by developing an automated testing suite in C# using Selenium Webdriver, and I contributed to two web-applications that were deployed at the end of my internship.

As a Computer Science student at the University of Michigan, my coursework is focused on data structures and algorithms, and I have taken classes in artificial intelligence, operating systems, and software engineering. This year I plan to take additional courses in app development and web systems, and my expected graduation is May 2022.