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.
An observational essay on masking, nonlinear thinking, hyperfocus, modern work, and the invisible cognitive friction many high-functioning neurodivergent adults quietly navigate every day.
Exploring coherence, memory, belief systems, and why future AI architectures may require persistent epistemic state rather than transient context alone.
I’m interested in roles and collaborations focused on AI systems, technical delivery, implementation, analytics, and real-world problem solving.