About
Background and technical credentials.
Background
TinyLab.ai is a solo consultancy focused on industrial IoT development. I work directly with clients to design and build complete IoT systems - from field sensors to cloud dashboards.
My background spans embedded systems, industrial automation, and cloud software development. This combination is uncommon - most developers specialize in either hardware or software, leaving clients to coordinate between multiple vendors.
I've deployed systems in mining operations, on truck fleets, in manufacturing plants, and at remote utility sites. These environments taught me that reliability isn't optional - systems need to work when connectivity drops, when power fails, and when temperatures exceed specifications.
The "tiny" in TinyLab reflects both the edge devices I work with and the lean operating model. No project managers, no account executives - direct communication between you and the person writing the code.
Technical Stack
- Modbus RTU/TCP, CAN Bus, J1939, OPC-UA
- Linux embedded systems, Raspberry Pi, industrial PCs
- Python, Rust, Node.js, Go
- AWS IoT Core, Azure IoT Hub, GCP IoT
- TimescaleDB, InfluxDB, PostgreSQL
- MQTT, HTTP/REST, WebSockets
- Docker, Kubernetes, Terraform
- Grafana, custom React dashboards
- scikit-learn, TensorFlow for ML applications
Certifications & Training
- AWS Certified Solutions Architect
- Industrial network protocols training
- Functional safety awareness (IEC 61508)
How I Work
Direct Communication
You talk to me directly - the person designing and building your system. No telephone game through project managers.
Iterative Delivery
Working systems delivered in phases. You see progress regularly and can adjust course based on real results.
Documentation & Handoff
Every project includes comprehensive documentation. Systems are built to be maintainable by your team or future developers.