Applied Scientist · TinkererRobotics · Physical AI3D PrintingPh.D. UIUCNew York

Hey, I'm Arash.
I build curious AI agents, 3D-print glowing wall art, and teach robot arms to turn on kitchen taps.

Applied scientist by training (Ph.D. from UIUC), tinkerer and imaginative builder by obsession. By day I explore complex reasoning systems and generative models; by night I'm in my workshop wiring LED reliefs on my Bambu printer, building on-device voice assistants like Biscuit, or getting robotic arms to safely manipulate real-world objects.

I love making things that are a little weird, genuinely ambitious, and fun to interact with. Welcome to my digital workshop.

Explore Toys & ProjectsRead My Notes & Builds →Say Hello
Hardware · 3D Printing
Backlit Hexagon World Map
3-foot wall relief · Bambu P2S · N52 magnets
Voice · Android AI
Biscuit Companion
On-device speaker match · MCP · phone automation
Physical AI · Teleop
SO-101 Kitchen Tap Arm
Remote water tap manipulation · LeRobot · Pi
Applied Math · Research
Econometrics & ML Models
Causal inference · Graph algorithms · Ph.D. UIUC

Research, Tools & Prototypes

Empirical econometric studies, data visualization experiments, mapping tools, and software prototypes.

View All (7) →
Do State Governments Defer Highway Maintenance Expenditures?
Causal Inference2018 · Research

Do State Governments Defer Highway Maintenance Expenditures?

Deferring maintenance expenditures in fiscal downturns can be more costly than accumulating debt or cutting pension contributions. This paper takes advantage of the formulary distribution of Federal highway grants to examine the extent and context of highway maintenance deferral. Since the formula factors used in the apportionment of Federal highway grants are always three years old, I can measure exogenous grant shocks as the difference between this year’s and previous year’s forecast of each state’s future grants. I show that state governments respond to a negative grant shock by cutting highway maintenance expenditures more rapidly than other expenditures. The Impulse Response Functions (IRFs) of maintenance expenditures as a share of total expenditures show that states only partially compensate for the initial cuts in the subsequent periods – deferring maintenance expenditures and accumulating maintenance needs. Furthermore, I find that the deferral of maintenance expenditures is more pronounced in election years, which suggests that this inefficient behavior is subject to agency problems.

Build Notes & Writing

Dispatches from the workshop on 3D printing, robotics, curious AI architectures, and data science.

All Articles (0) →

I'm polishing up build logs and field notes on 3D printing, robot arm teleoperation, and on-device AI. Follow along via RSS to read them when they drop!

Follow the Workshop via RSS

Honest notes on hardware mistakes, 3D printing lessons, robot experiments, and software architecture. No corporate spam.

Follow RSS FeedSay Hello →