Laurie O
Software Developer at SiteSee
Brisbane City, Queensland, Australia
Summary
🤩
Rockstar🎓
Top SchoolLaurie O is a computational software developer with nine years’ experience building backend systems, software infrastructure, and workflow automation for electromagnetic field estimation at SiteSee. With a BSc in Physics from the University of Queensland, Laurie combines strong analytical modelling and critical-thinking skills with hands-on DevOps and API development. They are an active open-source contributor to high-profile Python projects—improving CPython queue shutdown behavior, enhancing AWS mocking in moto, and documenting the Python Packaging guide and PEPs—showing both deep technical and documentation expertise. Laurie’s background tutoring first-year physics labs underscores an ability to explain complex concepts clearly and mentor others. Comfortable across research-grade numerical code and production backend services, they aim to be recognised as a top-tier computational software developer. An attention to developer experience and reproducible docs distinguishes their contributions beyond pure code.
9 years of coding experience
Bachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at The University of QueenslandHigh School, High School at Burnside State High SchoolHigh School, High School at Tumbarumba High School
English
Stackoverflow
806reputation
158kreached
17answers
7questions
Github Skills (39)
boto10
restructuredtext10
python10
sphinx10
technical-writing10
rs10
python-packaging10
queuing10
standard-library10
asyncio10
pep10
aws10
build-automation10
task-queue10
queue10
Programming languages (16)
Github contributions (5)
getmoto/moto
Feb 2020 - Oct 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:12 commits, 9 PRs, 2 comments in 2 years 8 months
Contributions summary:Laurie contributed to the `moto` library, focusing on supporting and extending AWS SWF (Simple Workflow Service) functionality. Their work included adding features to track execution details like close status and timestamps, and supporting default settings within SWF workflow registration. They also addressed issues related to handling empty task tokens and previous started event IDs, enhancing the library's accuracy and compliance with AWS specifications.
ec2bototestinginfrastructureaws-infrastructure
mikedh/trimesh
Nov 2019 - Feb 2022
Python library for loading and using triangular meshes.
Role in this project:Technical Writer & Infrastructure Engineer
Technical Writer & Infrastructure EngineerContributions:6 commits, 6 PRs, 2 comments in 2 years 3 months
Contributions summary:Laurie's primary contributions revolve around enhancing the project's documentation and streamlining the build process. They focused on integrating autodocsumm for creating member summary tables and modularizing the documentation by putting each module on its own page. Furthermore, they refactored the build process using a Makefile, introduced requirements management and customized the installation instructions. This indicates an effort to improve the project's maintainability and developer experience.
python-librarymeshpythontriangular-meshesmeshes
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