I will build your robot or sensor telemetry pipeline with ai anomaly alerts

Building a robot, drone or sensor prototype and stuck on getting its data into the cloud? Physical AI needs a reliable path: device, to the cloud, to dashboards, to models that spot problems.

I build that path. I have worked with production telemetry streaming, and on a sensor-streaming project where a sensor sat inside a cricket ball. For my own aeroponic tower I wrote asynchronous sensor-streaming code (on GitHub).

Pipeline: ESP32 or Raspberry Pi, MQTT, AWS IoT Core (Kinesis or MSK Kafka for high volume), S3/Timestream or ClickHouse, Grafana dashboards, then anomaly detection or simple ML inference on top.

Enclosure: I design parametric FDM-printable cases in FreeCAD with AI assistance, and print on an Ender-class printer.

You get: working data path, dashboards, alert rules, sample device code, STEP/STL files, FreeCAD source, README.

Robotics and drones are the use case this is built for, not past robot projects of mine. No PCB design, certification or hardware sales. I cannot promise ML accuracy or zero downtime.