Dong Lin

Los Altos, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Dong Lin is a seasoned backend engineer and DevOps practitioner with 12 years of experience based in Los Altos, California, specializing in high-throughput distributed systems. He is an active Apache PMC contributor with substantive work on Apache Flink and Kafka—improving Kafka connectors, producer metrics, log robustness, and test infrastructure to drive reliability at scale. His contributions span both systems and ML runtimes, including performance-focused improvements to TensorFlow Runtime and benchmarking work on TensorFlow models. Comfortable across production code, tooling, and documentation, he has a track record of shipping bug fixes, refactors, and feature enhancements that bridge developer ergonomics and operational resilience. Trained at Shanghai Jiao Tong and the University of Pennsylvania (MS and PhD coursework), he combines rigorous academic grounding with practical open-source impact. An unobvious strength: he toggles effectively between low-level IO and protocol details and higher-level monitoring/metrics work that keeps large streaming platforms observable and robust.

12 years of coding experience

Master of Science in Engineering, Computer Science, 4.0, Master of Science in Engineering, Computer Science, 4.0 at University of Pennsylvania

Num 2 Middle School Affiliated to East China Normal University

Bachelor, Computer Science, Bachelor, Computer Science at Shanghai Jiao Tong University

English, Chinese

Github Skills (39)

benchmark10

c-language10

apache-flink10

back-end-development10

python10

testing10

big-data10

kafka10

machine-learning10

benchmarking10

flink-sql10

java10

performance-testing10

scala10

javas10

Programming languages (6)

JavaC++CMakeScalaHTMLPython

Github contributions (5)

linkedin/kafka-monitor

Apr 2016 - Nov 2018

Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statistics - E2E latency, service produce/consume availability, offsets commit availability & latency, message loss rate and more.

Role in this project:

Backend Developer

Contributions:62 commits, 96 PRs, 106 pushes in 2 years 6 months

Contributions summary:Dong contributed significantly to the core functionality of the `kafka-monitor` project, evidenced by adding Java code to the `services` package. They implemented essential services such as `ProduceService`, focusing on producing synthetic workloads, and `ConsumeService`, responsible for consuming messages and calculating metrics. The user also made changes to service configurations and ensured compatibility with different Kafka versions and setups.

monitorkafka-monitorclustersoffsetsvital

apache/kafka

Jun 2014 - Jan 2019

Mirror of Apache Kafka

Role in this project:

Back-end Developer

Contributions:112 commits, 194 PRs, 83 pushes in 4 years 8 months

Contributions summary:Dong's contributions primarily focused on enhancing the Apache Kafka project's backend functionality. Their work included implementing and refining core features within the producer, such as adding compression ratio metrics to the new producer. They also addressed issues related to log management, including the handling of disk failures and the optimization of the log cleaner. Additionally, the user worked on improvements to the AdminClient and other related components, ensuring the project's continued stability and performance.

apache-kafkakafka-consumerapachescalakafka

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