Dan Rammer, PhD

Dan Rammer, PhD has extensive experience in software engineering and distributed systems. Dan is currently working as a Software Engineer at Union.ai, where they have designed and implemented a performance observability and benchmarking framework for Flyte. Dan is also leading initiatives for human-in-the-loop workflows and serving as a core maintainer of Flyte backend services. Prior to this, Dan worked as a Graduate Research Assistant at Colorado State University. In this role, they contributed to various projects including the extension of HDFS and Apache Spark for improved analytics performance, and the implementation of a distributed satellite imagery storage framework for deep learning training. Dan also designed and managed a cloud-based application service monitoring framework and contributed to the capture and storage of BGP routing messages for detecting routing anomalies.

Dan Rammer, PhD has a strong educational background in computer science. Dan earned their Bachelor of Science degree in Computer Science from the University of Wisconsin Oshkosh between 2008 and 2013. Following this, they pursued a Master of Science degree in Computer Science with a focus on Network Security at Colorado State University from 2014 to 2018. Finally, they obtained their Doctor of Philosophy (PhD) in Computer Science with a specialization in Distributed Systems from Colorado State University from 2018 to 2021.

Additionally, Dan Rammer has obtained certifications from O'Reilly Media. These certifications include "Certified Apache Cassandra Developer" and "Certified Developer on Apache Cassandra." The specific months and years of obtaining these certifications are not provided.