Claude (Anthropic)
Claude (Anthropic) is the AI model family behind the agentic coding and content workflows I use to build and maintain production systems, including this site.
Machine Learning and Data Science
Projects involving predictive modeling, ML pipelines, feature engineering, and data-driven decision systems.
Claude (Anthropic) is the AI model family behind the agentic coding and content workflows I use to build and maintain production systems, including this site.
OpenAI is the AI lab behind Codex and GPT — part of the model toolkit I use alongside Claude for agentic and AI-assisted work.
Algorithm Optimization is the practice of improving computational efficiency, performance, and scalability of algorithms.
Amazon SageMaker is a platform for building, training, and deploying machine learning models.
Built predictive audience demographic datasets using graph databases and AI/ML. Trained models to predict demographic attributes of mobile device audiences...
Designed a novel IP geolocation confidence model combining location observation data with network topography analysis to improve the accuracy of geographic...
Used Tableau and sampled data to identify impossible or improbable movement patterns in location observation datasets, then designed a system to tag and filter...
Designed, implemented, and tested 150 iterations of a scoring algorithm to determine the likelihood of a customer revisiting a physical store, based on mobile...
Systems measure likeness between entities using features and distance metrics so they can drive insights, grouping, and product behavior.
Created an algorithm to build an optimal international geofencing system for hundreds of millions of postal address regions, incorporating feedback from 32...