Extreme close-up of a robotics engineer's hands carefully positioning a small servo motor onto a machined aluminum bracket, natural window light from the left, shallow depth revealing precise fingertip grip and metallic surface texture
Extreme close-up of a robotics engineer's hands carefully positioning a small servo motor onto a machined aluminum bracket, natural window light from the left, shallow depth revealing precise fingertip grip and metallic surface texture
/ Robotics Engineer

I build hardware and document the tradeoffs.

Actuation, sensor fusion, control systems, mechanical design — specific domains, not a generalist list. Here's the background behind the work.

Wide overhead shot of a robotics workbench — circuit boards, calipers, a half-assembled motor driver, wire harness coiled neatly to one side, lit by diffused studio window light that reveals component markings and solder joints with documentary clarity
Wide overhead shot of a robotics workbench — circuit boards, calipers, a half-assembled motor driver, wire harness coiled neatly to one side, lit by diffused studio window light that reveals component markings and solder joints with documentary clarity
— The background

Methodical by necessity, not preference.

My engineering work started with mechanical design and expanded into control systems when I realized that hardware constraints almost always dictate the software architecture — not the other way around.

I debug from first principles. When something fails on hardware, I don't assume the model is wrong — I go back to the physics, the datasheets, and the timing diagrams.

The blog exists because explaining a decision forces you to know whether it was actually the right one. Projects ship; the reasoning gets written up.

• Technical domains

Specific areas, not a keyword list.

Actuation & Drive Systems

Sensor Fusion & Perception

Control Systems & Mechanical Design

Motor selection, drive topology, torque budgets, and closed-loop velocity control — from brushless DC to stepper-driven precision stages.

IMU integration, encoder-based odometry, Kalman filtering, and camera-lidar alignment — building state estimates that survive real hardware noise.

PID and state-space controllers tuned on physical hardware, paired with structural design — brackets, linkages, and tolerances that hold under load.

See the full engineering record.

Projects, domains, and timeline — the résumé carries the specifics. The contact page is the next step if anything warrants a conversation.