Mitchell Hynes
Senior Software Engineer at Spellbook
St. John's, Newfoundland and Labrador, Canada
Summary
👤
Senior🎓
Top SchoolMitchell Hynes is a Lead Software Engineer with 11 years of experience building scalable web applications and growing high-performing teams, currently leading a team of six at Spellbook after advancing a prototype into a production product. He brings full-stack expertise across AWS, React, Ruby on Rails, Node.js, Terraform/CDK and PostgreSQL, and has a track record of improving performance, architecting service-based APIs, and deploying ML models to Lambda. Mitchell mentors and hires junior engineers—having trained multiple new developers—and has created foundations like a design system from scratch and complex observability features such as log tables and notification flow graphs. He contributes to open source (notably implementing Textract support in the moto AWS-mocking library), which reflects his interest in reliable testing and infrastructure emulation. Based in St. John’s, NL, he combines hands-on coding with product-minded engineering to turn ambiguous requirements into maintainable systems.
11 years of coding experience
6 years of employment as a software developer
Student, Computer Science, Student, Computer Science at Memorial University of Newfoundland
Stackoverflow
61reputation
1kreached
1answer
1question
Github Skills (10)
unit-testing10
boto10
aws10
api10
python10
apidoc10
mocking10
back-end-development9
flask-login6
flask6
Programming languages (17)
Github contributions (5)
getmoto/moto
Feb 2022 - Feb 2022
A library that allows you to easily mock out tests based on AWS infrastructure.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 3 comments in 4 days
Contributions summary:Mitchell primarily contributed to the implementation and testing of the Textract service within the Moto framework, a library for mocking AWS services. Their work focused on developing the `TextractBackend` class, defining API responses, and creating unit tests using the `boto3` library. The user implemented the `start_document_text_detection` and `get_document_text_detection` methods, which simulate Textract API calls, and created corresponding unit tests to validate the behavior. The user also addressed comments and fixed issues related to the textract implementation.
awsbotoec2s3
ecumene/couchcraft
Jul 2018 - Jul 2018
Controller Support for Minecraft
Contributions:20 commits, 26 PRs, 17 pushes in 14 days
minecraft
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