Systems That Work in Reality
I like the messy part: taking ambiguous goals, technical constraints, and real-world friction, then turning them into systems people can actually use.
I’m a systems-focused consultant and builder with a background in physics, data analytics, and technical delivery. My work lives at the intersection of AI, automation, implementation, robotics, and real-world adoption.
I like the messy part: taking ambiguous goals, technical constraints, and real-world friction, then turning them into systems people can actually use.
My background spans physics, data analytics, implementation, automation, and hands-on building. I am comfortable moving between theory, tooling, and execution.
I build things, document them, explain them, and improve them. That includes enterprise systems, robotics projects, technical writing, and portfolio work.
Cleaned and analyzed over a century of NOAA weather data (~3.2M records) to identify long-term trends in temperature, snowfall, and snow depth across Massachusetts.
Designed and built a six-legged robot combining an existing leg design with a fully custom body, control system, and power architecture to explore real-world locomotion and robotics systems.
A full pipeline project centered on cleaning, exploring, and modeling real-world survey data.
An early large-scale instrumentation and calibration project involving a solar research facility, continuous data collection, and operational handoff documentation.
Selected technical and analytical writing across physics, systems, and long-form thought pieces.
I wanted a place that could show the full range of my work: implementation leadership, technical systems thinking, robotics, writing, old research, and the thread connecting all of it.
Resumes flatten people. This site is meant to do the opposite.
How first-principles thinking, real-world systems experience, and implementation work converged into a systems-oriented approach to AI.
A practical perspective on delivery, ambiguity, adoption, and the gap between demos and reality.
Why robotics is such a powerful way to reconnect software, hardware, and reasoning.
Revisiting early research, writing, and systems projects to understand the through-line in how I think and build.
I’m interested in roles and collaborations focused on AI systems, technical delivery, implementation, analytics, and real-world problem solving.