Engineering guides, architecture patterns, and production implementations focused on Mobile Engineering.
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.
An empirical engineering teardown comparing Flutter 3.x with Impeller against Native iOS (Swift) and Native Android (Kotlin): 120Hz ProMotion frame pacing, cold start TTID, memory pressure, and zero-copy Dart FFI.
How to architect an enterprise offline-first Flutter application using Drift SQLite, Hybrid Logical Clocks (HLC), and attribute-level CRDTs to prevent state drift, eliminate synchronization storms, and guarantee deterministic convergence.
Our engineering team designs sub-50ms distributed backends, edge AI pipelines, and high-concurrency systems.