Robots are hardware. I build what makes them useful.
Capable robots are getting cheaper every quarter. Buying one is not the same as deploying one. I combine hardware selection, SDK and API integration, AI and production software engineering to turn robotic platforms into systems a business can rely on.
Bring me the problem, not the robot.
You don't need to know the manufacturer, model or SDK. Tell me “I need something that can do this.” I'll work out what can realistically be automated, select a platform, and build the software and integrations to deploy it.
Start with the job. Then choose the robot.
I don't force one robot into every problem. First: what does the machine need to do, how often, where, and what counts as success? Then I evaluate platforms against it.
Once the hardware is right, I build the software around it.
- Hardware capability
- Reliability
- SDK and API access
- Sensors and payload
- Autonomy
- Connectivity
- Serviceability
- Certification
- Parts and support
- Commercial viability
The robot is one part of the system.
- 01Robot
- 02SDK / API
- 03Edge or cloud services
- 04Database & telemetry
- 05AI / agentic workflows
- 06Operations dashboard
- 07Business systems
A production deployment runs from the machine to your business systems. I build the whole software layer connecting them.
- Robot APIs & SDKs
- Manufacturer SDKs, REST APIs, ROS / ROS 2, telemetry and device-control interfaces.
- AI & agentic systems
- Vision, planning, reasoning and human escalation, added where they actually improve the system, with the same evidence and validation discipline I use for software agents.
- Fleet & device management
- Robot status, jobs, telemetry, alerts, history, diagnostics and remote operations.
- Control interfaces
- Operator dashboards, customer portals and mobile interfaces designed around the real deployment.
- Enterprise integration
- ERP, inventory, maintenance, ticketing, CRM and authentication: the robot becomes part of how the business already runs.
- Cloud & edge architecture
- Secure communication between robots, edge devices, cloud services and databases. The same production infrastructure work I've done for studios and datacenters.
No SDK, no serious platform.
Custom robotics needs developer access. I prioritize hardware with usable APIs and robotics interfaces, so the system can be extended beyond the manufacturer's default app.
- REST APIs
- Python / C++ SDKs
- ROS / ROS 2
- WebSockets
- MQTT
- Modbus
- CAN
- Device telemetry
- Remote-control APIs
Physical AI
The next generation of AI won't live entirely in a browser. Models can increasingly perceive environments, reason about events, operate tools and drive machines. I'm extending my agentic AI work into physical systems.
VisionAgentsRoboticsReal-time dataHuman oversight
The point isn't autonomy for its own sake. It's systems that do useful work safely and reliably.
Robotics for real work
Cleaning & facilities
Autonomous cleaning, inspection and facility operations.
Hospitality & service
Delivery, concierge, food service and customer-facing robots.
Warehousing & logistics
Material movement, inspection, inventory and internal transport.
Security & inspection
Remote monitoring, patrol, sensing and hazardous-area inspection.
SMB automation
Robotics for businesses too small to build their own robotics department.
Home & prosumer
Emerging intelligent machines for household and personal use.
Custom applications
An unusual problem? I'll evaluate available platforms and tell you whether an existing machine can be adapted to solve it.
Global hardware. Canadian software and integration.
I'm developing relationships with robotics manufacturers and sourcing partners internationally, including in China, where some of the fastest-moving hardware ecosystems are. The filter is simple: strong hardware, meaningful developer access, and economics that work. Then I add the software, AI, integration and support the application needs.
From problem to deployed robot
- 01Define the jobWhat needs to happen, how often, in what environment, and what counts as success.
- 02Select the hardwareEvaluate platforms on capability, SDK access, economics, certification and support.
- 03PrototypeGet the robot doing the core task before building infrastructure around it.
- 04IntegrateConnect APIs, cloud services, databases, AI and your existing applications.
- 05DeployTest in the real environment, set up monitoring and operator workflows, and iterate from actual use.
Have a job you think a robot could do?
You don't need a robotics specification. Tell me what you're trying to automate, and I'll tell you plainly whether today's hardware can do it and what it would take.
Contract CTO · Principal AI engineering · Forward-deployed AI engineering · Enterprise AI architecture