Elaina Hodgkin is a full stack developer with 9 years of experience building web applications and cloud architectures from both contributor and team lead perspectives. Based in Austin, she combines strong problem-solving and rapid learning skills with hands-on expertise in back-end infrastructure—most recently contributing to Weights & Biases on artifact tracking, JWT-based auth flows, and cross-platform file sync fixes. She excels at code analysis and refactoring, with a track record of improving credential management and surfacing subtle authentication and Windows path issues. Comfortable shifting between implementation and technical leadership, she seeks roles that expand her cloud-native and distributed systems experience while still offering hands-on coding challenges.
9 years of coding experience
Academic Honors Diploma, Academic Honors Diploma at Zionsville Community High School
Bachelor of Science in Business, Technology Management and Marketing, Bachelor of Science in Business, Technology Management and Marketing at Indiana University Bloomington
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Back-end Developer
Contributions:38 reviews, 1 commit, 13 PRs in 1 day
Contributions summary:Elaina contributed to the back-end infrastructure of the Weights & Biases platform. They worked on core features related to artifact tracking and file synchronization. Key contributions include implementing JWT bearer token exchange and refactoring credential management. The user also addressed Windows file path resolution issues and surfaced errors related to JWT authentication.
Contributions:16 pushes, 1 branch in 1 year 7 months
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