Bruce Campbell
Principal AI Engineer at Salesforce
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolBruce Campbell is a Principal AI Engineer with 13 years of experience building and scaling ML-driven products across healthcare, enterprise software, and industrial IoT. He has led data science organizations from hands-on algorithm development to commercial deployment, including spatial AI for cancer diagnostics and autoscaling Kedro-based MLOps platforms. His work marries deep statistical rigor with production engineering—driving multimillion-dollar sales impact at Red Hat and $135M savings from time-series analytics at Xylem. Comfortable across R, Python, Scala, Spark and cloud architectures, he also has deep roots in large-scale image analysis and pathology from early-career research and commercial products. Known for creating reproducible, interpretable models and academic partnerships (NCSU, Duke, MIT), he excels at translating complex research into reliable, auditable systems. Based in Atlanta, he combines principal-level technical craft with practical leadership in hybrid teams to move models from prototype to regulated, revenue-generating deployment.
13 years of coding experience
28 years of employment as a software developer
Master of Science (MS) Statistics, Master of Science (MS) Statistics at North Carolina State UniversityMS Applied Mathematics, MS Applied Mathematics at University of RochesterComputational and Applied Mathematics, Computational and Applied Mathematics at The Ohio State University
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (33)
ntl9
portable7
java7
gradient7
machine-learning7
boost7
arbitrary-precision7
amazon-glacier6
scalable6
distributed-systems6
python6
multithreading6
scala6
xgboost6
spark6
Programming languages (4)
Github contributions (5)
wavescholar/ds_devops
Nov 2021 - Dec 2023
Contributions:12 PRs, 55 pushes, 3 branches in 2 years 1 month
wavescholar/klSpectralAnalysis
Dec 2014 - Oct 2015
Contributions:3 commits, 1 push in 9 months
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