Engineering guides, architecture patterns, and production implementations focused on Edge Computing.
An authoritative systems engineering guide to flash memory wear leveling on ESP32: comparing SPIFFS, LittleFS, and FATFS, mitigating 100k P/E cycle limits, and architecting zero-WAF circular ring buffers for offline edge telemetry.
An in-depth systems architecture guide to load-balancing high-velocity IoT telemetry: eliminating MQTT 3.1.1 broadcast duplication using MQTT 5.0 shared subscriptions, clustered EMQX brokers, and TimescaleDB hypertables.
How to architect zero-cloud on-device AI in mobile applications: Apple Neural Engine (ANE) CoreML, Android Qualcomm NPU acceleration, INT4 quantized Small Language Models (SLMs), and zero-copy computer vision.
Our engineering team designs sub-50ms distributed backends, edge AI pipelines, and high-concurrency systems.