Margaret Ma is a software engineer with a decade of experience building robust backend systems and distributed architectures, currently contributing to Chainlink Labs on the decentralized web. She has deep hands-on experience with Go, GraphQL, Postgres, Kubernetes, and blockchain technologies, having implemented permissioned ledgers with Hyperledger Fabric and multichain support for Chainlink feeds. Her background spans healthcare telemedicine systems, fraud-prevention engines, and developer tooling, reflecting a pragmatic balance between velocity and maintainability. Comfortable across full-stack and infrastructure layers, she pairs production-grade engineering with an open-source mindset—her Chainlink contributions added key RPC and job-management features that enable secure oracle operations across ChainIDs. Trained at Flatiron and Codesmith and grounded in a dual Math and Philosophy BA, she brings analytical rigor and systems thinking to complex, real-world problems.
9 years of coding experience
4 years of employment as a software developer
Software Engineer, Open Source Project Residency, Software Engineer, Open Source Project Residency at Codesmith
Graduate School Dropout, International Relations, Graduate School Dropout, International Relations at Harvard University
Full-Stack Web Development, Full-Stack Web Development at Flatiron School
Bachelor’s Degree, Mathematics and Philosophy Dual Major, Bachelor’s Degree, Mathematics and Philosophy Dual Major at Wellesley College
node of the decentralized oracle network, bridging on and off-chain computation
Role in this project:
Back-end Developer
Contributions:154 reviews, 5 commits, 87 PRs in 1 month
Contributions summary:Margaret made several contributions to the Chainlink codebase, primarily focusing on backend functionalities. They implemented multichain support by modifying the Feed Manager, which included changes to support ChainIDs. Further contributions involved enabling features such as the Feeds Manager, addressing issues with job proposal redirection, and linking running jobs to approved proposals. The user also added functionalities for job deletion, revocation, and revocation of job proposal specs via RPC.
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