Austin Graham
Software Engineer at Datavant
Oceanside, California, United States
Summary
👤
Senior🎓
Top SchoolAustin Graham is a software engineer and engineering leader with a decade of experience building and scaling backend systems and developer-facing APIs. He has led teams from startup to enterprise—co-founding and growing Volt’s messaging platform to handle over a million messages monthly and later shaping high-scale backend services at Intuit that served tens of thousands of requests per second. Comfortable both managing people and shipping code, he has driven rapid prototyping into production-grade products at ONI and now contributes to Datavant. Austin is an active open-source contributor, improving schema validation and test coverage in the popular django-ninja framework, reflecting a focus on robust API design and developer ergonomics. Based in Oceanside, CA, he pairs hands-on backend expertise with operational discipline, incident response experience, and a habit of turning experimental features into reliable, monitored services.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Oklahoma
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
pydantic10
python10
django10
testing9
openapi8
swagger7
rest-api7
Programming languages (10)
Github contributions (5)
vitalik/django-ninja
Dec 2023 - Jul 2024
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 PRs, 7 comments, 2 issues in 6 months
Contributions summary:Austin primarily contributed to the backend functionality of the `django-ninja` framework. Their work involved modifying the schema validation process, specifically adding support for `validate_assignment` within the `DjangoGetter` class, which ensures the correct behavior when assigning values. They also addressed formatting issues and updated the test suite to improve its robustness and coverage, including adding tests around the `validate_assignment` feature.
redocpythondjangofast-asyncasync
austinpgraham/Recommendations-GAN
May 2018 - Aug 2018
Experiments using GANs for recommendations in TensorFlow
Contributions:31 commits, 10 PRs, 18 pushes in 3 months
autoencoderdeep-learningganganstensorflow
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