Emmanuel Orimoloye (TOE Tech)
I am a software engineer focused on mobile systems — on-device AI integration, low-latency edge execution, and local-first distributed architectures. I turn hardware constraints into measurable performance advantages.
01. On-device AI
Executing quantized LLMs (SmolLM2, Gemma, Phi-4) directly on mobile NPU/GPU hardware via LiteRT and native C++ bindings, bypassing cloud latency and API costs.
02. Local-first architecture
Building zero-cloud, sync-engine systems that rely on embedded vector storage, SQLite/mmap disk layers, and event-sourced vector-clock conflict resolution.
03. High-throughput runtimes
Designing ring-buffered memory allocators, thread-per-core proxies, and zero-copy binary streaming protocols using Rust, C++, and Dart FFI.
Mobile & Systems Engineer
Local AI runtimes & cross-platform infrastructure
My work sits at the intersection of application-layer user experience and low-level system performance. Whether architecting offline-first mobile platforms with embedded local servers, building low-latency API proxy shields, or streaming 60 FPS spatial sensor data directly through native device hardware, my focus remains constant: uncompromising stability under memory and network constraints.
I regularly write technical deep dives on Medium (@toetech) and Dev.to, documenting benchmarks, memory optimization techniques, and state architecture patterns.
Verification & artifacts
Review my background, technical writeups, and open-source specifications.