Felipe Imanishi is a software engineer with 9 years of experience building resilient back-end systems, currently at Uber in Sunnyvale. He has strong domain versatility, having architected microservices and real-time experiment dispatch systems for a life-sciences startup, built ML data and API pipelines for predictive maintenance clients, and contributed to high-availability orchestration software by improving test coverage in the popular Cadence workflow engine. His background as a directional driller and field engineer brings operational rigor and a data-driven mindset to production reliability and incident response. Felipe combines hands-on coding, system design, and deployment experience across Rails, Django, React, and cloud infrastructure, and is known for dramatically improving performance and shipping pragmatic fixes under pressure. He holds dual MS degrees from Georgia Tech in Computer Science and Analytics and a BE in Electrical Engineering, reflecting a blend of engineering depth and applied analytics.
9 years of coding experience
12 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at Universidade Federal do Espírito Santo
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 Developer & Test Automation Engineer
Contributions:24 reviews, 83 PRs, 38 pushes in 10 months
Contributions summary:Felipe primarily contributed to the Cadence workflow engine by adding and enhancing unit tests. Their work involved writing comprehensive tests for various aspects of the system, including mutable state builders, Dead Letter Queue (DLQ) handling, and frontend API handlers (request cancellation, query workflow, describe workflow execution). The contributions focused on improving test coverage and ensuring the robustness of the Cadence system. The user also fixed rebalancing failover tooling.
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