Gwendolyn Stripling

Agentic AI AI And ML Ops AI Security at Google

San Francisco Bay Area United States
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Summary

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Top expert inGoogle Cloud Platform Development Essentials
Gwendolyn Stripling is an AI and ML Ops engineer and strategist based in the San Francisco Bay Area with six years of experience designing production-grade GenAI systems and MLOps pipelines at Google. She builds end-to-end generative AI workflows—spanning TensorFlow/PyTorch development, RAG and LLM fine-tuning, Docker/Kubernetes orchestration, and Vertex AI Pipelines—while translating research into enterprise-ready learning paths and courses. A prolific educator and author, she produced Google Cloud’s first Generative AI Learning Path, teaches LinkedIn Learning’s Introduction to Neural Networks, and wrote O’Reilly’s Low-Code AI. Her security-focused work includes AI-assisted threat detection and a Python OSINT notebook for rural healthcare resilience, reflecting a rare blend of GenAI engineering and applied cybersecurity. She contributes to open-source ML training labs (notably feature-engineering work in GoogleCloudPlatform’s training-data-analyst) and advises startups and VCs on secure, scalable AI adoption.
code6 years of coding experience
job1 year of employment as a software developer
bookM.A., Telecommunications, M.A., Telecommunications at University of Florida
bookPh.D., College of Computing and Engineering, Ph.D., College of Computing and Engineering at Nova Southeastern University
bookCisco Certified Network / Design Associate - Certification # CSCO11127738, Cisco Certified Network / Design Associate - Certification # CSCO11127738 at Cisco Networking Academy
bookAwarded Cybersecurity Certificate, February 2026 | Post Doc. Master's (in progress) — Cybersecurity, Agentic AI Security, Blockchain Technologies, Awarded Cybersecurity Certificate, February 2026 | Post Doc. Master's (in progress) — Cybersecurity, Agentic AI Security, Blockchain Technologies at Harvard University
bookB.S., Double Major: Computer Science & Business Administration, B.S., Double Major: Computer Science & Business Administration at Cal Poly Humboldt
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Github Skills (7)

keras10
machine-learning10
deep-learning10
feature-engineering10
python10
visual-studio-code6
docker6

Programming languages (3)

TypeScriptShellJupyter Notebook

Github contributions (5)

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Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
userML Engineer
Contributions:9 reviews, 757 commits, 550 PRs in 3 years 1 month
Contributions summary:Gwendolyn appears to be focused on feature engineering tasks within a deep learning project. The commits show the creation of new feature engineering files, suggesting they are developing and implementing methods to improve model performance through new feature creation. These files are related to Keras and deep learning, implying the user's involvement in model development and data preparation.
gcp
gstripling/Generative_AI

Jul 2023 - Mar 2026

Contributions:113 pushes, 6 branches in 2 years 8 months
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