Nigel Liang - Co-Founder & CTO at Yuen Chiang Technologies

Nigel Liang

Co-Founder & CTO at Yuen Chiang Technologies

Tokyo, Japan

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Summary

🤩

Rockstar

🎓

Top School

Nigel Liang is a seasoned technology leader and Co-Founder & CTO based in Tokyo with 15 years of experience building resilient, high-scale systems across Google, Facebook, Confluent and startups. He blends hands-on backend engineering—evidenced by substantive open-source contributions to Confluent’s Kafka Connect connectors (Elasticsearch, S3, JDBC) focused on robustness, performance and test coverage—with executive CTO experience at Hamastar and his current startup. Nigel’s background spans systems reliability, data integration, and performance tuning, including careful work on memory, exception handling, compression, and edge-case data conversions. A UCLA master’s graduate with a strong academic record, he brings both deep engineering craft and product-oriented leadership to cloud-native data infrastructure challenges.

14 years of coding experience

15 years of employment as a software developer

Master's Degree, Computer Science, 3.9/4.0, Master's Degree, Computer Science, 3.9/4.0 at University of California, Los Angeles

Bachelor's Degree, Computer Science, 3.7/4.0, Bachelor's Degree, Computer Science, 3.7/4.0 at National Tsing Hua University

Github Skills (23)

kafka-connect10

amazon-elasticsearch10

testing10

kafka10

jdbc10

java10

javas10

elasticsearchquery10

junit10

aws-elasticsearch10

parquet10

elasticsearch10

error-handling10

elasticsearch-api10

aws9

Programming languages (6)

JavaDockerfileShellJupyter NotebookRubyPython

Github contributions (5)

confluentinc/kafka-connect-jdbc

Jan 2020 - Apr 2022

Kafka Connect connector for JDBC-compatible databases

Role in this project:

Back-end Developer

Contributions:82 reviews, 87 commits, 46 PRs in 2 years 3 months

Contributions summary:Nigel made several contributions focused on improving the error handling and robustness of the JDBC connector, specifically addressing custom query execution and data validation. Their work includes implementing more informative exceptions when the custom query does not include an incrementing column. Additionally, the user refactored code related to fetching data and memory management within the connector, including improvements to the OOM integration tests, indicating a focus on performance and stability. The user also addressed timezone handling within the data conversion process.

sinkkafka-connectorconnectorstreamingdatabases

confluentinc/kafka-connect-elasticsearch

Mar 2020 - May 2020

Kafka Connect Elasticsearch connector

Role in this project:

Back-end Developer

Contributions:10 reviews, 22 commits, 12 PRs in 2 months

Contributions summary:Nigel primarily contributed to bug fixes and improvements within the Elasticsearch connector. Their work included addressing test failures, logging enhancements, and merging branch updates. They also worked on changes related to connection compression and the handling of null values, indicating involvement in core functionality and configuration aspects of the connector. Additionally, the user addressed an issue in the bulk processor, ensuring exceptions thrown in executor threads were properly handled.

kafka-connectorconnectorkafka-connectelasticsearchkafka

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