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Jonathan Jaegerman

PROFILE

Jonathan Jaegerman

Jonathan Jaegerman developed core backend features for the temporalio/sdk-go and temporalio/sdk-java repositories, focusing on scalable workload handling and resource tracking. He engineered dynamic autoscaling for task pollers in Go, enabling the system to adjust poller concurrency based on load, which improved throughput and resource utilization. In Java, he implemented async workflow polling slot usage tracking, ensuring accurate slot accounting during asynchronous execution. Both projects included comprehensive automated and unit tests to validate behavior under varying conditions. Jonathan’s work demonstrated depth in concurrency, backend development, and testing, addressing system reliability and efficiency for high-concurrency distributed workflow environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
277
Activity Months2

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026 monthly summary for temporalio/sdk-java focused on delivering Async Workflow Polling Slot Usage Tracking and strengthening tests and stability. Implemented marking of task slots as used when an async poll task executes, updated the polling flow accordingly, and added slot supplier tests to validate used-slot tracking during workflow execution. The change reduces risk of slot leakage and improves resource accounting and reliability in asynchronous polling.

November 2025

1 Commits • 1 Features

Nov 1, 2025

Month: 2025-11 — Delivered a dynamic autoscaling feature for task pollers in temporalio/sdk-go to improve throughput, efficiency, and responsiveness under varying load conditions. Implemented adaptive poller deployment that scales from the initial count to the maximum pollers, supported by automated tests validating autoscaling behavior. Updated worker base logic to support max poller count and added scalable poller concurrency tests. This work enhances resource utilization, reduces latency during bursts, and positions the SDK for higher concurrent workloads.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoJava

Technical Skills

GoJavabackend developmentconcurrencytestingunit testing

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

temporalio/sdk-go

Nov 2025 Nov 2025
1 Month active

Languages Used

Go

Technical Skills

Gobackend developmentconcurrencytesting

temporalio/sdk-java

Mar 2026 Mar 2026
1 Month active

Languages Used

Java

Technical Skills

Javabackend developmentunit testing