Hi, I'm Maurice Samulski and have emigrated to Norway in 2011. I am married to Anne-Gudrun Klæth Lyngsmo and have a 7 year old daughter. I am currently working as a senior software engineer at Datec AS in Trondheim on a mobile app for cleaners and their managers to make their day-to-day job more productive and enjoyable. We were the first to bring an iPad solution on the market for cleaning organizations that distributes and facilitates flexible cleaning plans to the cleaners with extensive use of interactive graphical floorplans: CleanPilot Go.
Previously I have been developing methods to improve effectiveness of computer aided detection (CAD) systems for detecting breast cancer in screening, using information from multiple mammographic views and developed a mammographic screening workstation with interactive CAD software to help radiologists with decision making rather than only avoiding oversight errors.
Experience in developing an Objective C enterprise application. Good understanding of various Cocoa design patterns and iOS Human Interface Guidelines.
Extensively worked with Spring JDBC, EclipseLink ORM, Jersey and JPA to create RESTful Web services.
Set up and managed 40 Linux servers with 99.95% up-time. Wrote Ansible scripts to automatically update system components and deploy software, saving 40% admin time.
Maintained Git workflows for version control. Developed and maintained CI/CD pipelines for code deployment with BitBucket Pipelines.
Experience in database design especially MySQL.
Developing the iOS app CleanPilot Go, the premier solution for cleaning organizations that manages and distributes cleaning plans based on interactive graphical floorplans.
We have about 65 adult sheep at Lyngsmoen, and most of these are of the breed NKS (Norwegian white sheep).
Researched earlier detection of breast cancer using computer aided detection systems in breast screening, resulting in a PhD thesis Computer Aided Detection as a Decision Aid in Medical Screening. List of publications can be found here.
Dissertation titled "Computer Aided Detection as a Decision Aid in Medical Screening". Defended on wednesday, 14th december 2011 at 10.30. ISBN 9788249703142.