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 aerospace defense 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 | Focused on Defense, Finance, and Emerging Tech
Deep Learning, Time-Series Forecasting, NLP, Feature Engineering, Reinforcement Learning, Physics-Informed Neural Networks, Optimization Algorithms, Bayesian Inference, Uncertainty Quantification, SciML, Explainable AI
AWS, Containerization, CI/CD, ETL Pipelines, RESTful API Design, Version Control, Monitoring & Infrastructure as Code, Vector Databases, 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
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
Machine Learning
How Combining Intelligence Sources Creates Superior Situational Awareness A technical deep-dive into sensor fusion algorithms, geolocation techniques, and multi-target tracking for modern ISR systems
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Risk Modeling
Medium
Turning Government Data Streams into Actionable Intelligence.
Read on Medium
Machine Learning
Why Most ML Projects Fail in Production (And How to Build One That Won’t)
Read MoreInterested in collaboration or have a project in mind? Let's talk.