Eric Hwang is a Staff Software Engineer in San Francisco with 11 years of experience building full-stack and framework infrastructure for impactful web products. At Lever he shifted from product engineering to framework work, empowering teams to ship faster and more reliably, and previously drove major frontend initiatives at Google for the AdWords advertiser UI. He contributes to notable open-source realtime projects (Derby, Racer, ShareDB) improving server-side synchronization, query robustness, and memory-safety, and has helped refine TypeScript typings for those ecosystems. Known for pragmatic refactors and improving developer tooling (e.g., bundle cleanup, cross-origin loading, subscription leak tests), he blends product sensibility with deep backend and frontend chops.
11 years of coding experience
8 years of employment as a software developer
BS, Electrical and Computer Engineering (EECS), BS, Electrical and Computer Engineering (EECS) at Franklin W. Olin College of Engineering
Realtime database backend based on Operational Transformation (OT)
Role in this project:
Back-end Developer
Contributions:26 releases, 131 reviews, 100 commits in 5 years 1 month
Contributions summary:Eric primarily contributed to the backend of the ShareDB project, focusing on improving the database functionality. Their work involved resolving a circular dependency, adding tests for memory leaks in document subscriptions, and enhancing the "readSnapshots" middleware by adding context information to facilitate more flexible usage. Furthermore, the user made code review changes to the "readSnapshots" middleware, demonstrating a focus on code quality and maintainability. These contributions support ShareDB's role as a real-time database backend.
Contributions:21 releases, 31 reviews, 64 commits in 7 years 9 months
Contributions summary:Eric primarily focused on enhancing the core functionality of the Racer engine. Their contributions involved refactoring the query system to handle duplicate IDs and improve the efficiency of data management. Furthermore, the user addressed callback handling within the subscription process and optimized the internal data structures for better performance. These changes collectively aimed to improve the robustness and reliability of the Racer engine.
realtimesynchronizationnode-jsjavascriptnodejs
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