Systems Across Domains
Why cross-domain systems understanding matters, and a library of system-domain notes.
What It Is
Machine Learning is A subset of AI focused on systems that learn from data. On this site, it matters because it transfers across technical, operational, and venture work instead of staying trapped in one narrow context.
Learn more: https://en.wikipedia.org/wiki/Machine_learning
Python
Python is a programming language for automation, data, and backend systems.
AI inference systems
Compute systems are optimized for executing trained models efficiently at scale.
Amazon SageMaker
Amazon SageMaker is a platform for building, training, and deploying machine learning models.
Curiosities and Interests
This page collects the questions, patterns, and topics that repeatedly draw my attention.
Demographic Prediction Model and Machine Learning Pipeline
Built predictive audience demographic datasets using graph databases and AI/ML. Trained models to predict demographic attributes of mobile device audiences...
Enhanced IP Geolocation Model for Security and Verification
Designed a novel IP geolocation confidence model combining location observation data with network topography analysis to improve the accuracy of geographic...
EPA SBIR Phase 1 — Residential Energy Optimization Algorithms
Won a $66,890 EPA SBIR grant to develop adaptive energy management algorithms using sensors and machine learning for residential HVAC optimization — an early...
Feature engineering systems
Processes transform raw data into structured inputs that are better suited for learning and inference.
Location Observation Fraud Outlier Identification
Used Tableau and sampled data to identify impossible or improbable movement patterns in location observation datasets, then designed a system to tag and filter...