Samar Abbas is a founder and engineering leader based in Seattle, listed on GitHub as Co-founder/CTO for Temporal Technologies, with 11 years building distributed workflow and orchestration platforms. He is a hands-on backend and DevOps engineer who has driven core work on Cadence and the Temporal Go SDK, from porting IDL definitions and package refactors to upgrading proto dependencies. His contributions include database consistency tuning, metrics instrumentation, panic fixes, and improvements to test and build infrastructure—practical work that hardens long-running, fault-tolerant systems. He brings a systems-minded attention to detail (for example, ensuring metric/tag consistency and fixing subtle persistence issues) that helps reduce production surprises and ensure reliable workflow execution.
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
Role in this project:
Back-end & DevOps Engineer
Contributions:14 releases, 156 commits, 207 PRs in 3 years 2 months
Contributions summary:Samar primarily contributed to back-end aspects of the Cadence project, focusing on core functionality and performance. Their work included implementing metric support for the persistence API, fixing various types of panics, and tuning database consistency levels. The user also made changes to the testing infrastructure and build scripts, demonstrating a DevOps focus. Additionally, the commits involved configuration changes and the removal of test executables.
Framework for authoring workflows and activities running on top of the Cadence orchestration engine.
Role in this project:
Back-end Developer
Contributions:1 release, 21 commits, 11 PRs in 2 years 7 months
Contributions summary:Samar primarily contributed to the Cadence Go client, making updates and porting code related to the Cadence server's IDL definitions. They refactored and added new functionality including support for features such as domain registration, and workflow execution. They also addressed bugs and implemented changes to enhance the client's interaction with the Cadence service and improve overall reliability.
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