Kurtis Bass
About Kurtis Bass
Kurtis Bass is a Senior Backend Platforms Engineer at Hinge, specializing in data processing and system architecture. He has a background in software engineering and music, having worked at various companies including Bank of America and GreenPark Sports.
Work at Hinge
Kurtis Bass has been employed at Hinge as a Senior Backend Platforms Engineer since 2022. In this role, he focuses on backend development and platform engineering, contributing to the technical infrastructure that supports Hinge's operations. His responsibilities include managing real-time data streams and ensuring efficient data processing to enhance user experience.
Previous Experience in Software Engineering
Before joining Hinge, Kurtis Bass worked at GreenPark Sports as a Senior Software Engineer I, Platform, from 2020 to 2022. He also held positions at Red Ventures, where he served as an Engineer on the Data Platform from 2019 to 2020 and as an Associate Engineer on the Data Platform from 2018 to 2019. His experience encompasses various aspects of software engineering, including data processing and system architecture.
Internship Experience
Kurtis Bass gained early experience through internships, including a Technology Intern position at Bank of America in 2016 and a Software Engineer Intern role at Red Ventures in 2017. He also interned at Daylight Data in 2018. These internships provided him with foundational skills in software engineering and data platforms.
Education and Expertise
Kurtis Bass completed a Bachelor of Science degree in Computer Science and Music at the University of North Carolina at Chapel Hill from 2014 to 2018. His dual focus on computer science and music reflects a diverse skill set. He has also completed an internal data science accelerator to enhance collaboration with data science stakeholders.
Technical Contributions and Projects
Kurtis Bass has made significant contributions to various technical projects. He architected an event-driven system using Kafka to improve data processing efficiency and engineered a self-service data exposure process for analysts utilizing AWS Glue and Redshift Spectrum. Additionally, he developed a common Spark library to enhance data processing capabilities and built a centralized monitoring tool for data scientists to track model performance.