Taiming Liu
Software Engineer at San Francisco Compute Company
California, United States
Summary
🤩
Rockstar🎓
Top SchoolTaiming Liu is an adaptable software engineer based in California with about four years of professional experience and roughly one year focused on full‑stack development across Python, Java, Rust, JavaScript/Next.js, and Swift. He contributes to cloud‑native observability at OpenObserve, adding backend features like regex UDFs, inverted index fixes, and CloudWatch ingestion to a petabyte‑scale open-source project positioned as an alternative to Elasticsearch/Splunk. Prior roles at Splunk and startup Tharzen sharpened his production systems and backend debugging skills, while a MS in Management Information Systems from Carnegie Mellon complements his technical depth with product and data awareness. Known for curiosity and a collaborative style, he seeks dynamic teams where he can leverage cross‑stack fluency to deliver measurable impact.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS Management Information Systems, General, Master of Science - MS Management Information Systems, General at Carnegie Mellon UniversityBachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at University of California, Irvine
Chinese, English
Github Skills (8)
fusion10
rust10
regular-expression9
logging8
opentelemetry8
analytics8
log-analysis8
sql7
Programming languages (7)
Github contributions (5)
openobserve/openobserve
Jun 2023 - Jul 2025
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:300 reviews, 264 PRs, 790 pushes in 2 years 1 month
Contributions summary:Taiming primarily implemented and enhanced features within the `openobserve/openobserve` repository, focusing on adding functionality related to regular expression matching within datafusion, including UDFs to match and extract fields. The user also addressed an issue with inverted index searches, ensuring proper functionality with special characters. Furthermore, the user contributed to CloudWatch metrics ingestion by implementing new functionalities within logs.
datadogelasticsearchfrontendllmmonitoring
taimingl/openobserve
Sep 2023 - Jul 2024
🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces).
Contributions:44 pushes, 7 branches in 10 months
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