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WebAssembly modules for near-native browser speed
Service description
I build WebAssembly modules that bring near-native performance to the browser, so heavy computation that used to crawl in plain JavaScript finally runs fast right where your users are. My core work is porting existing C, C++ and Rust codebases to WASM and compiling them with the right toolchain, memory model and optimization flags, then wrapping them in a clean JavaScript API that your front-end team can call without ever touching the low-level details. If you already have a native library that does the real work, I can bring it to the web without a full rewrite, and if you are starting fresh I will write the compute core in Rust for safety and speed.
Where WASM really pays off is anything compute-bound: image and video processing, audio pipelines, large-array and matrix math, parsers, compression and decompression, cryptography, physics and simulation, or crunching big datasets straight in the tab. I care about the boundary as much as the kernel, because a fast module tied to a slow JS bridge is still slow. So I minimize copies across the JS/WASM line, use shared memory and typed arrays deliberately, and move long tasks into Web Workers so the interface stays smooth. When it fits the target, I reach for SIMD and threads to squeeze out more.
You get a documented, versioned module with a typed interface, a small demo that proves the numbers, and benchmarks comparing it against the JavaScript baseline it replaces. I test across the major browsers, keep bundle size honest, and hand over source plus a build script so your team can rebuild it any time. If you already ship a WASM module that misbehaves or drags, I also take on audits and optimization of existing builds.
— Porting C, C++ and Rust to WebAssembly
— High-performance image, video and data modules
— JS integration, Workers, SIMD and threads
— Benchmarks, docs and reproducible builds
Where WASM really pays off is anything compute-bound: image and video processing, audio pipelines, large-array and matrix math, parsers, compression and decompression, cryptography, physics and simulation, or crunching big datasets straight in the tab. I care about the boundary as much as the kernel, because a fast module tied to a slow JS bridge is still slow. So I minimize copies across the JS/WASM line, use shared memory and typed arrays deliberately, and move long tasks into Web Workers so the interface stays smooth. When it fits the target, I reach for SIMD and threads to squeeze out more.
You get a documented, versioned module with a typed interface, a small demo that proves the numbers, and benchmarks comparing it against the JavaScript baseline it replaces. I test across the major browsers, keep bundle size honest, and hand over source plus a build script so your team can rebuild it any time. If you already ship a WASM module that misbehaves or drags, I also take on audits and optimization of existing builds.
— Porting C, C++ and Rust to WebAssembly
— High-performance image, video and data modules
— JS integration, Workers, SIMD and threads
— Benchmarks, docs and reproducible builds
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