Gwendolyn Stripling
Artificial Intelligence Machine Learning AI Security at LinkedIn
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top School
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.
6 years of coding experience
5 years of employment as a software developer
M.A. Telecommunications, M.A. Telecommunications at University of FloridaPh.D. College of Engineering and Computer Science, Ph.D. College of Engineering and Computer Science at Nova Southeastern UniversityCisco Certified Network / Design Associate - Certification # CSCO11127738, Cisco Certified Network / Design Associate - Certification # CSCO11127738 at Cisco Networking AcademyCybersecurity (In progress) AI/ML Cybersecurity Agentic AI Security, Cybersecurity (In progress) AI/ML Cybersecurity Agentic AI Security at Harvard UniversityB.S. Double Major: Computer Science & Business Administration, B.S. Double Major: Computer Science & Business Administration at Cal Poly Humboldt
Stackoverflow
11reputation
0reached
1answer
0questions
Github Skills (7)
keras10
machine-learning10
deep-learning10
feature-engineering10
python10
visual-studio-code6
docker6
Programming languages (2)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Nov 2019 - Nov 2022
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 757 commits, 546 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.
gcpgoogle-cloud-platformgoogle-cloudtraining
gstripling/stripling_machine_learning_resources
Mar 2022 - Mar 2024
Contributions:2 PRs, 9 pushes, 4 branches in 2 years
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