Paul Daniels is a Principal Software Engineer based in Singapore with 13 years of experience building resilient, high-throughput systems and improving developer experience across the full stack. He’s a Scala and ZIO specialist who led LeadIQ’s migration from REST to GraphQL and architected a uniform authentication and authorization platform used company-wide. An early engineering hire who helped scale the company through multiple funding rounds, he blends pragmatic API and microservice design with functional and reactive programming practices. Paul is an active open-source contributor—his work spans ZIO, Caliban (Scala GraphQL), and historical contributions to RxJS and AndroidAsync—often focusing on error handling, performance and tooling that surface subtle runtime guarantees. He’s also the author of "RxJS in Action," a detail that signals deep roots in reactive systems despite his current Scala focus. Colleagues describe him as someone who pairs hands-on coding with platform-level thinking to reduce vulnerabilities and lift team productivity.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science in Engineering (B.S.E.) Computer Science Engineering, Bachelor of Science in Engineering (B.S.E.) Computer Science Engineering at University of Michigan
Contributions:254 reviews, 34 commits, 97 PRs in 2 years 5 months
Contributions summary:Paul primarily focused on bug fixes and enhancements related to error handling and code encoding within the Caliban library. They addressed issues in the core functionality, ensuring correct error message encoding. The user also added source location mapping capabilities to the parsing component and implemented features to support directive processing, including the addition of apollo caching.
ZIO — A type-safe, composable library for async and concurrent programming in Scala
Role in this project:
Back-end Developer
Contributions:16 reviews, 24 commits, 27 PRs in 2 years 7 months
Contributions summary:Paul primarily contributed to the ZIO library by implementing new operators and enhancing existing ones. They introduced option combinators for `Managed` and added a new `fromOptionError` operator within the `ZIO` context, improving error handling capabilities. The user also implemented `scheduleWith`, `mapError`, `mapErrorCause`, `mapAccumM`, and `scanReduceM` operators within `ZStream`, expanding the library's functionalities for stream processing. The user further refactored existing code by reimplementing run* methods in terms of ZSink, and implemented ZSink.timed which added time tracking.
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Paul Daniels - Principal Software Engineer at LeadIQ