Yong-gang Cao
Software Engineer at Salesforce
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYong-gang Cao is a seasoned software engineer and AI researcher with 16+ years building large-scale, production ML and data systems across Amazon, Salesforce, Outreach, and Sift. He combines deep research experience (PhD-level work in information extraction and QA) with hands-on engineering—shipping distributed Spark/EMR/Dataproc pipelines, vectorized catalogs, and multilingual BERT classifiers that power real-world products. At Outreach he led the launch of Insights and cost-optimized distributed workloads; at Salesforce he’s now enhancing an atlas reasoning engine for agent automation. Comfortable bridging Java and Python ecosystems, he’s repeatedly turned research ideas (unsupervised entity tagging, RAG-powered QA) into robust, scalable services. Based in Seattle, he’s as focused on operational efficiency and tooling (Airflow, Databricks, LabelStudio, Robust Intelligence) as on model innovation, often saving significant monthly costs while boosting cross-team productivity.
8 years of coding experience
24 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Beihang University
Github Skills (19)
yolov49
object-detection9
computer-vision9
deep-learning8
darknet8
linux8
pytorch7
neural-network7
windows7
process-model7
yolov57
gaussian6
information-theory6
predictive6
deep-neural-networks5
Programming languages (1)
Github contributions (5)
dtbinh/gpmpc
Mar 2018 - May 2018
gaussian process model predictive control in MATLAB
Contributions:12 commits in 1 month
process-modelinformation-theorymatlabmodel-predictive-controlmachine-learning
caogang1213/gpmpc
Mar 2018 - Nov 2019
Contributions:11 pushes, 3 comments, 1 issue in 1 year 8 months
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