Summary
Taylor Sly is a Data Engineer with a decade of experience building robust, real-time data and MLOps systems, currently working on High Performance Computing at Target. Trained in computer and electrical engineering with embedded-systems roots, Taylor has shifted from low-level kernel and driver work to large-scale data processing and ML infrastructure, blending systems-level rigor with production engineering. He spent several years in Finland contributing to national tax software implementations and studied data science through FITech/Open University, giving him a practical international perspective on scalable public-sector solutions. Outside of core engineering he brings creative skills in music and video production that inform clear communication and intuitive tooling design. Known for automating testing and workflows (from Python/Jenkins at X-ES to real-time pipelines at Target), he combines pragmatic automation with an interest in ML, computer vision, VR, wireless, and IoT. Based in Lake Elmo, MN, Taylor offers a rare mix of embedded-systems expertise and modern ML infrastructure experience.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Michigan Technological University
European Project Semester, Faculty of Technology, Art and Design, 4.0, European Project Semester, Faculty of Technology, Art and Design, 4.0 at Oslo and Akershus University College
Stillwater Area High School
Finnish, Norwegian, French, English