Collin 👋 Forsyth
About Collin 👋 Forsyth
Collin Forsyth is a Backend Engineering Manager at Hinge, where he has worked since 2024. He has a strong background in software and data engineering, with expertise in recommendation systems and various backend technologies.
Current Role as Backend Engineering Manager
Collin Forsyth currently serves as a Backend Engineering Manager at Hinge, a position he has held since 2024. He works on-site in New York, New York, and has been in this role for 8 months. In this capacity, he oversees backend engineering projects and leads a team of engineers, leveraging his extensive technical background to enhance the platform's functionality.
Experience at Hinge
Forsyth's tenure at Hinge spans from 2020 to 2024, during which he progressed from Senior Software Engineer to Staff Software Engineer before taking on his current managerial role. His work focused on developing recommendation systems, which are essential for improving user experience on the platform. His contributions during this period have been significant in shaping the backend architecture.
Previous Employment History
Prior to his current role, Forsyth worked at several notable companies. He was a Software Engineer at American Express from 2019 to 2020 and a Software Engineer at Comcast from 2018 to 2019. He also served as a Data Engineer at Capital One, where he worked as an intern in 2016 and later as a full-time Data Engineer from 2017 to 2018. This diverse experience has provided him with a solid foundation in both software and data engineering.
Educational Background
Forsyth earned his Bachelor of Science degree in Computer Science from Penn State University, where he studied from 2012 to 2016. His education has equipped him with the theoretical knowledge and practical skills necessary for his career in software engineering and backend development.
Technical Skills and Expertise
Collin Forsyth possesses a range of technical skills that are vital for backend development. He is proficient in programming languages and technologies such as Go, Postgres, Kafka, Kubernetes, and API development. His expertise in developing recommendation systems further highlights his capability to enhance user engagement and experience on digital platforms.