Lawrence Gray
Senior Machine Learning Educator
Meridian, Idaho, United States
Summary
🤩
Rockstar🎓
Top SchoolLawrence Gray is a Senior Machine Learning Educator and AI leader with 11+ years of experience designing, deploying, and scaling ML solutions across consulting, geospatial intelligence, and accounting industries. He combines hands-on data science (from contributing visual diagnostics to Yellowbrick to back-end crawler improvements) with strategic program leadership—directing university certificates, corporate upskilling, and enterprise ML engagements. Lawrence has led cross-functional teams to deliver multi-million-dollar GenAI and forecasting systems, improve operational accuracy, and automate labor-intensive workflows, while translating technical work into executive decision-making. At John Deere/Blue River he focuses on practical, hands-on AI training that bridges education and production deployment, and as a former Director of ML Engineering he shipped solutions that materially reduced response times and tripled model attribution accuracy. He holds a PhD-rooted analytical background and an ability to make complex technical concepts accessible—evidenced by consistently high student ratings and scalable curricula. Outside work he’s a laid-back reggaefan who brings cultural curiosity and steady mentorship to technical teams.
11 years of coding experience
9 years of employment as a software developer
Ph.D. Cellular and Molecular Physiology, Ph.D. Cellular and Molecular Physiology at The Johns Hopkins University School of MedicineBachelor of Science Biology and Chemistry, Bachelor of Science Biology and Chemistry at California State University, Fullerton
Stackoverflow
1,013reputation
138kreached
21answers
4questions
Github Skills (20)
visualization10
python10
multiple-selection10
feature-selection10
testing10
scikit10
machine-learning10
webscraping10
variable-selection10
scikit-learn10
visualizations10
matplotlib9
command-line-arguments9
argument-parsing9
command-line-parser9
Programming languages (4)
Github contributions (5)
DistrictDataLabs/yellowbrick
Mar 2018 - Aug 2022
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Role in this project:
Data Scientist
Data ScientistContributions:29 reviews, 44 commits, 90 PRs in 4 years 5 months
Contributions summary:Lawrence primarily contributed to the development and testing of a new visualizer, ClassPredictionError, designed to help users understand classifier performance. They implemented the visualizer, including the core logic to create the heatmap, and created documentation to support it. They also wrote several tests to ensure the visualizer's correct behavior and image similarity using test data generated from sklearn.make_classification function. The user also refactored quick methods for other visualizers.
pythonvisual-analysisvisualizermodel-selectionmachine-learning
buckyroberts/Spider
Feb 2016 - Feb 2016
Python website crawler.
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 5 PRs, 7 comments in 1 day
Contributions summary:Lawrence primarily focused on refactoring and improving the website crawler's core functionality. They replaced the `argparse` library with `docopt` for command-line argument parsing. Further changes fixed Twitter scraping by adjusting the URL and content-type handling. Additionally, they corrected the homepage URL to ensure the crawler functioned correctly.
pythonscrapyspiderwebsite-crawlerpython3
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