Frank Norton
Senior Application Developer
Grand Rapids, Michigan, United States
Summary
👤
Senior🎓
Top SchoolFrank Norton is a Senior Application Developer with five years of hands-on experience building full-stack applications and developer tools, currently driving projects remotely for PENNYMAC from Grand Rapids, Michigan. He specializes in React, TypeScript, Node, and SQL databases, and has a knack for learning new technologies quickly to solve practical problems. Frank contributed significant backend work to the open-source SeeQR project, implementing Docker/Postgres import flows, a dummy data generator, and nuanced bug fixes that improved SQL import robustness. His background spans startup and corporate environments—from Avise and Lifeworks Advisors to open-source collaborations—bringing both delivery focus and tool-building curiosity. Prior experience managing teams in hospitality gives him strong soft skills in customer service and operations that inform his collaborative engineering approach. He’s motivated by using code to make a better world, often tackling infrastructure edge cases that others overlook.
5 years of coding experience
6 years of employment as a software developer
Computer Software Engineering, Computer Software Engineering at CodesmithBachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Western Michigan University
Github Skills (9)
data-generation10
docker10
postgresql10
back-end-development10
dockers10
typescript-types9
typescript9
typescripts9
database-management9
Programming languages (3)
Github contributions (5)
open-source-labs/SeeQR
Aug 2020 - Sep 2020
A database analytic tool that allows developers to compare the efficiency of different schemas and queries on a granular level to make better informed architectural decisions regarding SQL databases at various scales.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 34 commits, 10 PRs in 1 month
Contributions summary:Frank primarily focused on implementing and refactoring backend functionality for importing database files. Their work involved writing code to create and manage database instances using Docker and PostgreSQL, including handling both .sql and .tar file types. They developed a dummy data generator engine, demonstrating the ability to generate insert queries. The user also fixed a bug with the single quote.
decisionsmysqlanalyticsqldatabases
DangerNoodleIt1/SWEethearts2.0
Jul 2020 - Jul 2020
Contributions:8 commits, 14 pushes, 2 branches in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.