Jinghui Mo
Summary
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RockstarJinghui Mo is a Staff Software Engineer in the San Francisco Bay Area with over eight years of experience building high-throughput data and ML systems, currently leading Ads AI, audience targeting, and generative AI efforts at LinkedIn. Skilled in Scala, C++, and Java, Jinghui has deep hands-on experience in in-memory databases, parallel processing, and relevance pipeline infrastructure from prior roles at MicroStrategy and LinkedIn. He combines systems-level performance engineering with practical machine learning infrastructure know-how to ship scalable production services. An active backend contributor to the Feathr open-source project, he added Python APIs for feature definitions and materialization, reflecting strong data-and-AI engineering fluency beyond core JVM languages. Jinghui holds an MS in Computer Science from Peking University and brings a pragmatic, data-driven approach to solving large-scale engineering challenges. Colleagues rely on him for both architecture-level decisions and meticulous implementation details that keep production systems robust.
4 years of coding experience
Github Skills (8)
apache-spark10
machine-learning10
feature-store10
feature-engineering10
python10
test-driven-design8
artificial-intelligence8
data-engineering8
Programming languages (1)
Github contributions (5)
feathr-ai/feathr
Mar 2022 - Jan 2023
Feathr – A scalable, unified data and AI engineering platform for enterprise
Role in this project:
Back-end Developer
Back-end DeveloperContributions:291 reviews, 29 commits, 98 PRs in 10 months
Contributions summary:Jinghui primarily contributed to the development of a Python API for the Feathr platform, focusing on feature definitions and configurations. Their work involved adding a Python API, including test cases, and modifying existing files related to derived features and materialization. The commits demonstrate a focus on feature engineering and the generation of configurations used within the platform, indicating a strong understanding of the underlying data and AI engineering principles.
aifeature-engineeringfeature-storeartificial-intelligencemlops
jaymo001/feathr
Mar 2022 - Jun 2023
Feathr – An Enterprise-Grade, High Performance Feature Store
Contributions:98 pushes, 50 branches in 1 year 3 months
deep-learningenterprise-grademachine-learninggradeperformance
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