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Matthew Kramer's work experience includes:

- Senior Data Engineer at Sayari | Commercial Risk Intelligence since March 2023.

- Advanced Software Engineer at Relativity from November 2020 to February 2023, where they developed and deployed various machine learning and sentiment analysis services, as well as a spark-operator and service for managing spark jobs in a Kubernetes cluster.

- Software Engineer at Design Mill, Inc. from December 2019 to August 2020.

- Undergraduate Researcher at UW Madison MadPL from May 2018 to May 2020, where they improved and maintained a program repair research project, redesigned project architecture, and moved the project to the cloud.

- Software Engineering Intern at Relativity from June 2019 to August 2019, where they contributed to a software engineering team and developed a test performance visualization tool.

- Web Development Intern at Hardin Design and Development from September 2017 to October 2018, where they worked on building a University web-app and automated data synchronization for courses.

- Software Architecture and Robotics Intern at Swarm Robotix from May 2018 to August 2018, where they contributed to code and electrical designs for a minimum viable product (MVP).

- Internet of Things Software Engineering Intern at Panduit from May 2017 to August 2017, where they developed software for network visualization and implemented a new export feature.

- Tennis Coach at Eola Tennis Academy in 2016.

- Landscaper at Ma Center from June 2014 to August 2015.

Matthew Kramer completed their Bachelor of Science degree in Computer Science from the University of Wisconsin-Madison, where they studied from 2016 to 2020. In 2019, they also participated in a study abroad program at the University of Bristol, focusing on Computer Science. In terms of additional certifications, Matthew obtained several certifications in the field of Natural Language Processing. In 2021, they completed the certifications "Natural Language Processing Specialization" from Coursera, "Natural Language Processing with Attention Models" from DeepLearning.AI, "Natural Language Processing with Sequence Models" from DeepLearning.AI, "Natural Language Processing with Probabilistic Models" from DeepLearning.AI, and "Natural Language Processing with Classification and Vector Spaces" from DeepLearning.AI. In 2020, they obtained the "Splunk 7.x Fundamentals Part 1 (eLearning)" certification from Splunk, and in 2020, they completed the "UX Design: 1 Overview" certification from LinkedIn.