Greg Silverman
Independent AI & Data Science Consultant
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolGreg Silverman is an independent AI and data science consultant with 11+ years of experience designing, evaluating, and deploying reproducible AI systems—particularly LLM-driven solutions for high-stakes domains like healthcare and scientific research. He combines hands-on full-stack engineering (infrastructure, containerized pipelines, automation) with rigorous methodological auditing, governance, and failure-mode analysis to ensure models are technically sound and ethically defensible. Formerly a senior AI systems developer at the University of Minnesota, he has deep experience building production-scale clinical research pipelines, NLP for clinical text, outcome modeling, and reproducible evaluation frameworks. Current projects include ethically focused LLM prompting for antimicrobial stewardship and AI-driven analysis of propaganda using Moral Foundations Theory and knowledge graphs for explainability. He brings a strong mathematical foundation and a taste for stress-testing reasoning and abstraction—applying research-grade validation to bridge academic rigor with real-world impact.
11 years of coding experience
Graduate non degree, Advanced methods in statistics, Graduate non degree, Advanced methods in statistics at University of MinnesotaFoundation Certificate, Horticulture, Foundation Certificate, Horticulture at ACS Distance EducationATCL; LTCL in process, Vocal performance, ATCL; LTCL in process, Vocal performance at Trinity Guildhall School of MusicDipLCM; LLCM, Vocal performance, DipLCM; LLCM, Vocal performance at University of West London
Russian
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (163)
uwsgi10
authentication10
flask-restful10
rest-api10
k8s10
flask10
google-charts10
crud10
rbac10
kubernetes10
go10
docker10
batch-processing10
mesos9
icu9
Programming languages (10)
Github contributions (5)
nlpie/Workshop_large_scale_nlp
Oct 2019 - Aug 2020
AMIA 2019 W22: Large Scale Ensembled NLP Systems with Docker and Kubernetes
Contributions:163 commits, 1 PR, 101 pushes in 10 months
nlpdockermachine-learningscalelarge-scale
nlpie/nlp-adapt-kube
Aug 2018 - Jan 2022
Kubernetes cluster that supports NLP workflow to generate and interrogate artifacts from various annotator systems.
Contributions:2 PRs, 138 pushes, 6 branches in 3 years 6 months
nlpannotatorkubernetesartifactskubernetes-cluster
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