Bridging the gap between complex data and scalable solutions.
Building Production-Ready ML Systems. From multi-million dollar supply chain optimizations to real-time intelligence architecture, I specialize in the full lifecycle of data science; turning complex models into scalable, high-impact analytics platforms.
My career began in Data Strategy consulting at firms like J.S. Held and Sedgwick. That experience shaped my core philosophy that a model’s value is defined by its ability to ship and scale. I specialize in translating executive priorities into technical execution to ensure that high-level strategy becomes high-impact software.
Currently, I am expanding my technical depth through an MS in Data Science at the University of Colorado while building intelligence systems across high-stakes domains. This work includes Machine Learning applications, financial optimization, and multi-sensor platforms. My focus remains on deployment-grade work where technical depth is matched with the rigor required for real-world application.
Based in Denver | Open to Remote
Neural Networks (CNN, LSTM, Transformers), Time-Series Forecasting, Feature Engineering, Anomaly Detection, Reinforcement Learning, Optimization Algorithms, Bayesian Inference, Explainable AI
AWS, Containerization, CI/CD, ETL Pipelines, RESTful API Design, Version Control, Monitoring, Distributed Computing Database Design, Stream Processing, Model Quantization & Optimization
Convex Optimization, Signal Processing, Graph Neural Networks, Sensor Fusion, Geospatial Analytics, Multi-Agent Systems, Adversarial Robustness, Digital Twins
Technologies and tools I use to bring ideas to life
"It's not that I'm so smart, it's just that I stay with problems longer."
— Albert Einstein
A selection of my recent work in Machine Learning and Data Science
HYPERION is a sophisticated machine learning platform designed to simulate and optimize autonomous drone swarms for the detection, tracking, and interception of hypersonic threats in aerospace and defense (A&D) scenarios.
SENTINEL is an advanced multi-intelligence fusion ML system designed for Aerospace & Defense applications, combining Overhead Persistent Infrared (OPIR) thermal detection with Radio Frequency (RF) geolocation for real-time threat detection and tracking.
MERIDIAN is a comprehensive investment portfolio optimization system combining multi-source market data acquisition, regime-conditional optimization, realistic transaction cost modeling, and an interactive decision support dashboard.
Thoughts on machine learning, data science, and technology
Here’s a secret about artificial intelligence: it’s not magic, and it’s not actually all that mysterious. At its heart, AI runs on mathematics that mathematicians and statisticians worked out hundreds of years ago.
Read on Medium
Stop "cleaning" your outliers. You might be deleting the most important data you have.
Read on Medium
The problem isn’t the AI. The problem is that nobody stopped to ask whether the process was worth automating in the first place.
Read on MediumInterested in collaboration or have a project in mind? Let's talk.
