Software connecting cloud platforms with batteries, hardware devices, peripherals, and mechanized systems.
Cloud Coordination
Edge Communication
Hardware Abstraction
Telemetry & Control
Overview
Connected-device platforms have to operate across boundaries that traditional applications can often ignore. Cloud services, local processes, physical equipment, firmware, device drivers, intermittent networks, and operator tools must all work together. The central challenge is not connecting one device; it is creating a structure that remains reliable as the number and variety of devices increase.
The approach was to separate device-specific behavior from the rest of the platform through stable interfaces, messaging, and reusable control layers. Cloud services handled centralized coordination, telemetry, and remote access, while local software maintained direct communication with equipment. Simulation and mocking tools reduced dependence on physical hardware during development, making it possible to test more conditions earlier and with greater consistency.
Selected Work
01
A cloud-native foundation supported remote control, telemetry, reporting, and fleet operations for connected energy systems. Serverless APIs, document storage, and event-driven messaging separated commands, device activity, and application requests into manageable services.
02
An abstraction layer isolated applications from internal APIs, external services, and hardware devices. Companion simulation tools reproduced device behavior, reduced dependence on specialized equipment, and shortened integration cycles.
03
Reusable control libraries simplified the articulation and coordination of mechanized components inside self-service systems. Cleaner software interfaces made physical actions easier to orchestrate and reduced duplicated movement logic.
What the Work Demonstrates
This work shows how connected-device systems can be designed for immediate functionality and long-term adaptability. Hardware integrations remained replaceable, local and cloud responsibilities were deliberately separated, and operational visibility was built into the platform. That reduced technical risk while supporting new devices, workflows, and larger deployments.
