Nutrition and Health Promotion
Agile Requirements Gathering
User Experience Design (UX)
Optional Pair Programing
Test Driven Design and Development (TDD)
Agile Project Management Software
Continuous Integration and Delivery
HTML, CSS, SCSS, Angular JS & 5,
Java, Groovy, Spring, Hibernate,
Elasticsearch, Spock, Geb,
git, Bitbucket, Jenkins, VirtualBox,
SQL, flyway, etc
Software and database design
Source code and data management
Software and database development
Automated and manual testing
Usability testing / software validation
Remote Development Teams
Advanced technical support
McWest develops software using a unique process that integrates customer needs with information technology. The process has two goals: build the right thing, and build it right. We work toward both goals at the same time. Using agile methods, we try to understand your most important needs. And, using Test Driven Development, we iteratively and progressively write, test, and improve software that meets your needs. We call it “the McWest Way”.
Brian founded McWest in 1997 to practice a unique way of developing software that is focused on and driven by user needs. He’s helped design and write numerous information systems, most notably nutrition systems for the University of Minnesota, the University of North Carolina, and the United States Department of Agriculture. For most of his career, Brian has promoted the Java software platform and Test Driven software Development (TDD) techniques. Brian has degrees in Nutrition and Health Informatics. He enjoys tennis and bicycling.
Justin Hui is a full-stack web developer with a keen eye for detail. In his spare time, he enjoys exploring the Twin Cities as well as being out in nature.
Jimmy is an inquisitive and energetic software engineer with a strong foundation in math, logic, and cross-platform coding. He enjoys exploring new technology and spending time with his cats.
Box 6621, Minneapolis, MN, USA
Box Plots => data variability
Box plots (of various types) can depict important measures of variability. The graph pictured here shows normality, skew, and kertosis for multiple distributions. This allows the assessment of variability within a single distribution, as well as across multiple distributions.
Line Charts => data series