Andrew Gorcester

Seattle, Washington, United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Andrew Gorcester is an autodidact software architect and developer with 13 years of experience focused on web backend development and clean architecture. Based in Seattle, he brings hands-on expertise across desktop and mobile applications, server and database management, and server automation, with a strong emphasis on code quality and clear communication. He has contributed to prominent Google Cloud open-source projects—improving the Python Cloud Storage client and Cloud Tasks samples—demonstrating practical improvements in retry logic, checksumming, Unicode handling, and task queue integrations. Comfortable operating at both implementation and system-design levels, he blends pragmatic engineering with thoughtful documentation and API ergonomics. His background in international studies gives him a broader perspective on product use-cases and cross-cultural collaboration. Andrew is especially skilled at turning ambiguous requirements into maintainable, testable backend systems that scale.

13 years of coding experience

BA, International Studies, BA, International Studies at University of Washington

Chinese, Japanese, English

Stackoverflow

Stats

19,775reputation

2.2mreached

293answers

18questions

Badges

mysql

top-5%

sql

top-5%

django-models

top-5%

concatenation

top-5%

orm

top-5%

xss

top-5%

Github Skills (51)

google-cloud-tasks10

google-cloud-platform10

back-end-development10

python10

django10

tasks10

gcp10

google-cloud-storage10

heroku10

appengine10

mysql9

testing9

sql-injection9

webservice9

boolean9

Programming languages (12)

HCLC#TypeScriptJavaC++ShellJavaScriptGo

Github contributions (5)

googleapis/python-storage

Jan 2018 - Dec 2022

Role in this project:

Back-end Developer

Contributions:1 release, 354 reviews, 30 commits in 5 years

Contributions summary:Andrew primarily contributed to the Google Cloud Storage Python client library. Their work included fixing docstrings, adding options to list blobs, adding configurable checksumming for uploads and downloads, implementing retry logic, and improving file-like I/O operations. The user also addressed issues related to unicode handling and code style, further improving the library's functionality and usability.

GoogleCloudPlatform/python-docs-samples

Aug 2017 - Feb 2020

Code samples used on cloud.google.com

Role in this project:

Back-end Developer & Cloud Engineer

Contributions:8 reviews, 54 commits, 120 PRs in 2 years 6 months

Contributions summary:Andrew contributed to the development of Cloud Tasks samples, enhancing existing examples and adding new functionalities, specifically for pull queues and App Engine integration. They made code changes to improve clarity, such as making port configurations explicit in Django settings. Furthermore, the user updated and refactored code to align with beta versions and corrected various issues related to task queue samples. Their work also involved adding command-line argument requirements, which indicates a focus on developing and refining the command-line tools related to the Google Cloud Platform.

gcppythongoogle-cloudgoogle-cloud-rungoogle-appengine

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.

Request Free Trial