About Me

What I Am and What Drives Me

At my core, I am a builder.

I’m driven to create things that matter to others and have a lasting positive impact — whether that means framing the walls of a house, or designing intelligent systems that orchestrate vast amounts of data in the digital world.

Since childhood, I have been drawn to systems.

I remember building ant farms, creating vast imaginative worlds during play, and observing construction sites for hours with fascination and wonder. I was captivated by how the complexity of a project emerged into something so beautiful. That fascination has shaped the way I see engineering.

My “why” is simple but powerful: to unite the physical and digital worlds through systems that can think, sense, and act intelligently for the betterment of society. I see engineering not only as solving problems, but as designing the brains of complex machines, organizations, and infrastructure — systems that help craft the future of humanity.

My Background Story

My journey began in construction. Some of my earliest memories are of working alongside my father, a masterful carpenter. From childhood through my early undergraduate years, I remodeled homes and worked on heavy civil projects, including water and sewer lines for local municipalities. Those years taught me how the physical world is built — through materials, systems, constraints, craftsmanship, and discipline. Later, while installing moisture sensors for an irrigation system, I had a spark of insight: data from the physical world could flow into digital systems, and software could be used to understand, coordinate, and improve real-world operations. That realization changed my path.

I went on to earn a degree in Applied Statistics studying mathematics, engineering and computer science at BYU while launching my software engineering career, developing a full-stack network monitoring application.

Professional Journey

My professional career began in aerospace, where I developed satellite software for space situational awareness. I worked on image processing systems and applied optimization models—including vehicle routing approaches for satellite scheduling—which gave me a front-row seat to the complexity of mission-critical, large-scale systems.

I later transitioned into cybersecurity, applying distributed data processing, big-data analytics at petabyte scale and machine learning to track malicious actors across massive networks.

Today, I work as a systems engineer at the intersection of data architecture, software engineering, DevOps, data science, AI/ML, and technical leadership. I lead and mentor a team, design and build data warehouse systems for business intelligence, architect scalable data pipelines, and establish the foundational infrastructure that enables analytics, machine learning, and data-driven decision-making.

But the data ecosystem itself is only the beginning. I’m now working to leverage this foundation—along with advanced AI, simulation tooling, and model-based engineering—to develop a robust digital twin platform that drives our mission into the next era of modeling, analysis, and decision intelligence. This effort requires aligning cross-domain teams across the enterprise—including modeling, operations, software, systems, mission analysis, and leadership—to converge on a unified architecture capable of extending our organization’s analytical capabilities well into the future. I’m even creating my own application called AeroFlux so that I can experiment and prototype ideas.

Selected Work Highlights

Designed and developed a dimensional data warehouse and automated pipeline that enables multi-enterprise decision intelligence for mission-critical space infrastructure.
Operationalized satellite image processing and analytics using containerized, cloud-native architectures for an already-deployed space situational awareness mission.
Designed and trained ML models that detect malicious cyber activity at petabyte scale to protect enterprise networks.
Developed a full-stack network monitoring platform that gave cybersecurity and network operations teams real-time visibility into system health and threats.
Led and mentored software teams through development, deployment, and production of software products.
Designed and built two homes end-to-end.
Working on AeroFlux is a predictive intelligence platform for U.S. domestic flight delays — and the seed of a broader cyber-physical intelligence layer for networks of interdependent agents moving through shared physical space.

If you would like to see more of what I’ve done in more detail see my CV.

My Vision and Mission

My mission is to transform mission-critical industries by leveraging robotics, IoT, AI, and digital twins—not as separate tools, but as integrated systems. I want to bridge the gap between machines that can act and systems that can think. Others build hardware and algorithms; I aim to architect the optimization, orchestration, and simulation frameworks that make them work intelligently together at scale.

At the center of this is decision-making under uncertainty—where optimization, simulation, and AI converge to guide physical systems.

Through software design, decision intelligence, and systems-level AI, I intend to turn isolated automation into coordinated, adaptive workflows. The long-term mission is to pioneer systems-scale intelligence that unites humans, machines, and AI into safe, resilient, autonomous infrastructures.

An Invitation to Collaborate

I see this as a mission bigger than myself, and one that requires collaboration. If my story resonates with you—whether you’re an engineer, researcher, entrepreneur, or builder in any domain—I invite you to connect with me. Let’s build together, share ideas, and push the boundaries of what’s possible in intelligent, cyber-physical systems.

Contact

Favorite Books

The books that have shaped how I think and build — browse the full list.

Professional Interests

Software design & engineering
Robotics & controls automation
Edge/IoT for cyber-physical systems
AI/ML & data science

Industries I Care About

Construction
Aerospace
Civil Infrastructure

Core Domains of Proficiency

Data & AI Platform Architecture
Systems Engineering & Systems Design
Artificial Intelligence, Machine Learning & Decision Intelligence

Tooling & Technical Stack

Note: the following list is not exhaustive, but represents a snapshot of the tools and technologies I use regularly and am proficient in. - Languages: Python, SQL, Rust - Data & ML: Polars, Spark, PyTorch, scikit-learn, OR-Tools, Elasticsearch - Distributed & Pipeline Systems: Airflow, Kafka, object storage (S3/MinIO) - Cloud & Compute: AWS, Kubernetes, Podman, Docker, Linux - Simulation & Modeling: Discrete event simulation, agent-based modeling, optimization solvers - Visualization & BI: Tableau, Grafana, Splunk, R Shiny, custom front-end dashboards

Personal Interests & Hobbies

Trail running & hiking
Deep reading across diverse topics
Construction projects & remodeling
Traveling & exploring
Cross-functional fitness