Rust Systems Engineer
Edge · Embedded · Local AI · Healthcare

I build software and systems that connect code to the real world.

My interests sit at the intersection of Rust, Linux, embedded systems, edge infrastructure, local AI, and healthcare technology. I like working on things that are fast, reliable, useful, and close to the field — from backend services and on-prem inference to hardware integration and real-world deployment.

• Rust backend and systems programming
• Edge and on-prem infrastructure
• Embedded / IoT systems
• Local AI and inference
• Real-time communication
• Healthcare and interoperable systems
• Projects involving both software and hardware

My background is unusual on purpose.

Before moving into software and systems engineering, I worked in orthotics, which gave me a strong connection to real users, real constraints, and real-world problem solving. Today, I bring that same mindset into engineering: build things that are technically solid, physically deployable, and actually useful.

I’m especially interested in systems that leave the screen:
devices, sensors, readers, edge nodes, local servers, field deployment, and critical workflows.

Backend services in Rust with fast decision loops, device communication, and production-oriented reliability.

Self-hosted and privacy-friendly architectures with local control, secure networking, and minimal cloud dependency.

Experimenting with local inference, RAG pipelines, embedded AI, and practical LLM deployments.

Software that combines technical engineering with healthcare domain understanding, especially where interoperability and clinical reality matter.

• Rust systems programming
• Embedded and hardware-oriented projects
• Local AI tooling
• Healthcare software
• Building projects that connect software, machines, and real usage

Languages
Rust · Python · C++ · JavaScript

Systems / Backend
Axum · Tokio · WebSocket · MQTT · Linux

Infra / Edge
Docker · Proxmox · Traefik · VPN · Self-hosting

Local AI
Candle · Burn · HuggingFace · llama.cpp · GGUF · RAG · Embeddings

Health Tech
HL7 · FHIR · DICOM

Systems engineering, edge infrastructure, local AI, and real-world deployments.

A project at the crossroads of clinical experience and software engineering.

A personal project that reflects what I enjoy most: understanding systems end-to-end, including hardware.

I like building systems that don’t stop at the screen.