John Andrilla
Senior Technical Writer at Salesforce
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolJohn Andrilla is a Senior Technical Writer with eight years of focused experience creating clear, customer-first technical content across cloud, enterprise security, and SaaS platforms. He has driven documentation strategy and operations at Salesforce and AWS, building processes, style guide governance, and fast-track publishing that scale for global audiences. Known for cutting through jargon, he pairs editorial rigor with metrics-driven improvements—leading content-metrics programs and search-optimization efforts that measurably boosted visibility and reduced support friction. John also contributes to open-source documentation (notably improving tutorials for the Deep Graph Library), showing an ability to translate complex developer tools into accessible learning paths. A former Microsoft content strategist, he has led usability studies, multilingual releases, and cross-functional training initiatives that increased adoption and simplified admin workflows. Colleagues praise his optimism and people-first leadership that repeatedly turns stakeholder complexity into clear, actionable guidance.
8 years of coding experience
5 years of employment as a software developer
BA English-Writing, BA English-Writing at University of WashingtonCertificate in Program Management Project Management, Certificate in Program Management Project Management at Everett Community CollegeTrailhead Ranger, Trailhead Ranger at Trailhead by Salesforce
Github Skills (5)
documentation10
technical-writing10
graph-neural-network9
deep-learning9
python7
Programming languages (6)
Github contributions (5)
dmlc/dgl
Oct 2019 - Dec 2019
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Role in this project:
Technical Writer
Technical WriterContributions:21 commits, 22 PRs, 34 comments in 1 month
Contributions summary:John's contributions primarily involve documentation updates and improvements within the DGL (Deep Graph Library) repository. Their work includes edits for readability, grammar, and style across multiple tutorial files. These changes aim to enhance clarity and user understanding of the library's features and functionalities, as well as its various models. The user's efforts focus on providing clear instructions, introducing prerequisites, and improving the overall presentation of the tutorials.
pytorchpythondeep-learningmachine-learninggraph-neural-networks
john-andrilla/dgl
Oct 2019 - Jan 2020
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Contributions:87 pushes in 3 months
pytorchpythondeep-learningmachine-learninggraph
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