Projects / Neurocage
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Embedded software, AI analytics agents, and production-stable device-to-cloud platforms.
The challenge
Connect live hardware, reliable backends, and operator tools so experimental data becomes insight without losing production stability across multi-team releases.
My contribution
- Embedded and backend software focused on reliability and hardware integration
- AI analytics agents and visualization workflows for operational data
- Django management panels, device-to-cloud integrations, and CI/CD pipelines
Systems that connect the physical and digital
My work at Neurocage brings together embedded software, connected devices, data processing, and the tools teams use to operate them. Reliability, performance, and production stability are central to that work across multi-team releases.
From devices to useful insights
I design AI analytics agents and visualization workflows that turn operational data into actionable insights for product stakeholders. Django management panels connect those capabilities to daily operations, alongside device-to-cloud integrations.
Engineering across boundaries
The role also includes CI/CD pipelines that accelerate safe testing and deployment, plus architecture reviews across teams. It requires following problems through the whole system, from device behavior to backend integration and release.