I build at the infrastructure layer and ship production code.
Lately I have been building robotics systems on ROS2 and AWS: robot fleet telemetry, edge and cloud perception, language-grounded navigation, and on-robot anomaly detection. Co-founding Forq, a food payment platform on Stripe Issuing and Flinks open banking. Previously built ML data pipelines at ReMotion Prosthetics on Azure, and did compliance consulting at TechHive Advisory across Canada, the UAE, and Europe. When I implement something, I read the paper first.
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Open-vocabulary language-grounded navigation for ROS2. Say "go to the red chair" and a vision-language model (OWL-ViT) finds it, depth plus tf2 turn the pixel into a 3D map pose, and Nav2 drives there. Lifecycle nodes, a custom action interface, and inference that never blocks the executor.
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Edge and cloud object detection router for ROS2. A small model runs on the robot every frame; a per-frame policy escalates only the uncertain frames to a heavier model on an AWS SageMaker endpoint, and captures hard cases to S3 to build a retraining set.
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Robot fleet telemetry and monitoring platform. Robots stream over MQTT to AWS IoT Core, which splits into a hot path (Kinesis, Lambda, DynamoDB) for live monitoring and a cold path (Firehose, S3 Parquet, Athena) for analytics. Fully Terraformed, runs in simulation.
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Learned proprioceptive anomaly detection for ROS2. An autoencoder trains on a robot's normal joint velocity and effort, exports to ONNX, and runs in a lifecycle node that publishes standard
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Languages
Backend & Infrastructure
Frontend & Mobile
ML & Robotics
