Shengqi Wang
Machine Learning Engineer II at Chevron
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolShengqi Wang is a Machine Learning Engineer II with nine years of experience applying ML, cloud engineering, and MLOps to drive measurable business impact at Chevron. He designs end-to-end ML ecosystems—leveraging LLMs, RAG, prompt engineering, and Azure-native infrastructure—to turn data science prototypes into scalable production services. His work has reduced API redundancy by over 50%, automated training and inference pipelines, and enabled non-specialists to deploy multi-workflow ML solutions through developer-friendly scaffolds. With a background in large-scale geophysical data processing and a Master’s in Computer Science from Rice, he combines deep data engineering chops with pragmatic cloud automation. Notably, he led enterprise-grade LLM integration projects that improved knowledge access and decision-making across the organization.
9 years of coding experience
11 years of employment as a software developer
Master of Computer Science, Computer Software Engineering, Master of Computer Science, Computer Software Engineering at Rice UniversityBachelor, Electrical Engineering, Bachelor, Electrical Engineering at Texas A&M UniversityN/A, N/A at Houston Community College
Chinese, English
Github Skills (13)
css7
javascript7
frontend7
markdown3
web-developer3
mindmap3
dropbox2
evernote2
valine2
mermaid2
editor2
drawio2
knowledge-management1
Programming languages (2)
Github contributions (5)
GrandPa300/Princeton-Algorithm-I
Mar 2017 - Aug 2017
Contributions:12 commits, 9 pushes, 1 branch in 4 months
GrandPa300/Udacity-Intro-to-Java-Programming
Mar 2017 - Aug 2017
Contributions:3 pushes, 1 branch in 4 months
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