Real-Time DSP & Edge Computing
High-throughput processing for Audio, Video, and Radio. I engineer real-time signal pipelines that process massive data streams at the edge.
In a data-saturated world, the ability to process signals in real-time is a competitive advantage. I specialize in Digital Signal Processing (DSP), building high-throughput engines that handle complex Audio, Video, and RF data streams with millisecond latency.
The 2026 Strategic Context: Processing at the Source
Sending terabytes of raw sensor data to the cloud is no longer viable. The future belongs to intelligent edge processing. I use Rust and WebAssembly (Wasm) to bring desktop-class signal analysis directly to where the data lives—whether that’s a user’s browser, an embedded sensor, or a localized gateway.
Core Engineering Competencies
Real-Time Signal Chains
Architecting non-blocking, low-latency pipelines for continuous data streams.
- Audio & Speech: Custom noise suppression, beamforming, and spectral analysis ensuring crystal-clear communication.
- SDR (Software Defined Radio): Demodulation and packet analysis for high-frequency radio data.
- Video Stream Analysis: Frame-by-frame processing for computer vision pre-filtering without cloud lag.
High-Performance WebAssembly (WASM)
Bypassing the limitations of standard runtime environments for compute-intensive tasks.
- Performance: Near-native execution speeds for FFTs and filtering (Simulated Airport Audio, Industrial Sensors).
- Stack: Rust compiled to Wasm, integrated with AudioWorklets or standalone runtimes (Wasmtime).
The Wasm Component Model (WASI 0.2+)
Building modular, language-agnostic software systems.
- Polyglot Composition: Combining high-performance Rust signal processing modules with Python AI logic in a single binary.
- CLI & Serverless: Running Wasm components directly on the command line (Wasmtime 33+) or in serverless edge environments.
Rust-Based Framekernels
Reimagining operating system security for embedded products.
- Asterinas Architecture: Deploying “Framekernel” OS designs that combine microkernel security with monolithic performance.
- Memory Safety: Eliminating entire classes of memory safety vulnerabilities in critical edge infrastructure.
Visualizing the Component Registry
Value Proposition
I offer a unique blend of high-performance DSP engineering and modern system architecture. Whether you need to process audio in the browser or deploy secure OS layers to embedded devices, I build the future-proof stack you need.
Key Deliverables
- Custom Audio Worklets: Low-latency, client-side audio processing modules.
- Component Model Architecture: Designing decomposable systems using WASI 0.2 standards.
- Edge Deployment Strategy: Migrating cloud-heavy workloads to local edge execution.
- Real-Time Visualization: High-performance canvas/WebGL rendering of signal data.