Kewazo
Industrial IoT Monitoring Platform
Built and maintained parts of an industrial IoT platform that turns machine and sensor data into operational information for construction teams.
Outcome
Made machine and sensor information accessible through a production interface used for operational monitoring, while improving the maintainability of the supporting software and operational workflows.
The problem
Kewazo builds robotic lift systems for construction sites. The machines and their sensors produce operational data, and that data only has value if the people running a site can actually see and act on it. I was part of the engineering team building and maintaining the software that turned that machine and sensor data into information operational teams could use.
What I worked on
I worked primarily on the frontend: building Svelte interfaces and operational data visualizations with D3.js and WebGL. I integrated real-time updates through WebSockets, contributed to the Python/FastAPI services and TimescaleDB-backed time-series workflows behind those interfaces, and used Bash scripting in Linux environments to automate repeatable operational tasks. Day to day, that meant collaborating with engineering, product, and operational stakeholders on both new functionality and the ongoing work of keeping the platform running.
Outcome
The result was a production interface that made machine and sensor information accessible for operational monitoring, and software that stayed easier to maintain as the platform and the team’s operational workflows evolved.
A note on scope
This description is deliberately limited to what I can verify from my own experience: the technologies I worked with and the shape of my contribution. It does not include specific performance figures or a detailed architecture breakdown, because I do not have a verified record of those details to publish.