Selected work
Systems, not slides.
Each build moves from simulation toward physical hardware, and each one states what has been measured and what has not.
- Full frame on the rover
- 47.8 ms p95
- Model alone, same board
- 26.9 ms
- Frames the pipeline sustains
- 22.9 fps
Bench2Field
Measures how much of a model optimization survives contact with the robot. The model alone met its deadline on the rover; the full frame did not.
Read the buildPhysical AI on Jetson
Robot manipulation program spanning measured Jetson inference and probes, measured Isaac Sim evaluation, and an implemented but unmeasured Orin ROS 2 host.
Read the buildPhysical AI Safety Observability
Runtime safety layer on Jetson AGX Thor that measures pipeline performance and model inference, so operators can see when the system is outside safe limits.
Read the buildJetson Edge AI Security
Defensive edge telemetry runtime with measured Jetson AGX Thor inference and thread-pool power, plus operator-reviewed alerts.
Read the buildAutonomous Navigation on ROSMASTER
SLAM and navigation on a mobile rover with Jetson Orin NX onboard, starting from measured bring-up instead of assumed performance.
Read the buildUrban Edge Vision Analytics
One edge box watching several street cameras, turning what a vision-language model sees into traffic events an operator reviews. Runs end to end on live cameras.
Read the buildEdge Telemetry Lakehouse
One governed data platform for edge AI device events, from raw arrival to operator answers, with every bad record quarantined for a reason. Runs end to end on synthetic replay.
Read the build