antonlorani

Tell me about the low-latency, high-throughput systems Anton has built.

Anton has engineered a handful of systems that focus on low‑latency and high‑throughput: | Project | Core idea | Key performance traits | |---------|-----------|------------------------| | **Zero‑dependency Go file service** (IdentityCheck) | A lightweight Go service that ingests, validates, and stores tens of millions of highly sensitive identity documents. | *Zero‑dependency* design removes runtime overhead; *low‑latency* request handling; *high‑throughput* scaling to millions of documents while simplifying the surrounding micro‑service stack. | | **WebAssembly‑based image‑processing SDK** (IdentityCheck) | A native‑like image‑processing engine compiled to WASM for Android and Web, used in mobile‑first identity verification. | *Real‑time* processing on the client; *SIMD acceleration* and *multithreading* in the browser; *low‑latency* image analysis for AI‑driven verification. | | **Cross‑platform C++ image‑processing engine** (IdentityCheck) | A CMake‑based build system that targets Android (JNI) and WebAssembly. | *Future‑proof* architecture; *high‑throughput* image pipelines that run on both mobile and web with minimal overhead. | | **Optimized TensorFlow Lite / OpenCV / XNNPACK for WASM** (IdentityCheck) | Porting and tuning popular ML and vision libraries to WebAssembly. | *SIMD* and *multithreaded* execution; *real‑time* inference on the web; *low‑latency* response for AI‑based identity checks. | These systems illustrate Anton’s focus on building production‑ready, latency‑sensitive services that can handle large volumes of data in regulated fintech environments.

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