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.
The kind of work I gravitate toward usually starts messy: unclear requirements, competing priorities, real operational constraints, and a lot of moving pieces. That is the environment where I tend to do my best work.
I try to get past the stated request and identify what actually needs to work, who it affects, and where failure points are likely to show up.
I care about adoption, maintainability, handoffs, and edge cases. A solution is only good if people can use it under real conditions.
I like being the person who can translate between technical details, business goals, and execution plans without losing the thread.
I am comfortable refining systems over time, whether that means recovering a rough implementation, improving a workflow, or debugging a physical robot.
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.
Contributed to the instrumentation, calibration, and data collection systems for a large-scale photovoltaic research facility, supporting continuous performance monitoring and long-term research operations.
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 systems that look complete and systems that actually work in the real world.
Why robotics is such a powerful way to reconnect software, hardware, and reasoning.
I’m interested in roles and collaborations focused on AI systems, technical delivery, implementation, analytics, and real-world problem solving.