Tom Schuring
About Tom Schuring
Tom Schuring is a Senior Software Engineer with extensive experience in video data management and secure IoT solutions. He has worked for several companies, including ASPECT, NEC Australia, Mobile Technologies International, and currently MTData, contributing to various projects over his career.
Work at MTData
Currently, Tom Schuring serves as a Senior Software Engineer at MTData, a position he has held since 2020. He is based in Melbourne, Victoria, Australia. In this role, he has developed a custom GStreamer plugin for live inference and metadata management, specifically designed for a car-based video stream management system. Additionally, he has integrated the ATECC 608A Security chip into Linux systems and customized Mosquitto to facilitate secure AWS IoT connections.
Previous Experience in Software Engineering
Tom Schuring has extensive experience in software engineering, having worked at several organizations prior to his current role. He was a Software Engineer at ASPECT from 1996 to 1998, and later held the position of Senior Software Engineer at Baycorp from 2003 to 2005. He spent a decade at NEC Australia from 2005 to 2015, where he created AWS Lambdas for certificate provisioning and QR code generation via AWS IoT messages. From 2015 to 2020, he worked at Mobile Technologies International as a Software Engineer.
Education and Expertise
Tom Schuring studied at HU University of Applied Sciences Utrecht, where he earned a bachelor's degree in Telecommunication and Information Technology from 1989 to 1993. His educational background has provided him with a solid foundation in software engineering principles and practices, which he has applied throughout his career in various technical roles.
Technical Contributions and Projects
Throughout his career, Tom has made significant technical contributions. He moved the build system to Docker to ensure reproducible builds and developed a shadow configuration and reporting system for remote configuration management. He has also implemented EAP-TLS on Linux machines and Android tablets using Secure Token to enhance security. Additionally, he retrained and evaluated TLT models Facenet and FpNete using synthetically generated training data.