Work

Applied systems under real constraints.

Selected work from Random Walk shows how private AI, local data infrastructure, and customer-controlled deployment patterns can be shaped for specific teams and operating environments.

Featured work

Open-source reference

Melix: local model operations for Apple Silicon.

Melix shows how local model work can be registered, served, adapted, evaluated, and reviewed on Apple Silicon.

Explore Melix

Case study

SayIt: local speech input without cloud transcription.

SayIt demonstrates how local speech input can become a private product workflow without relying on cloud transcription.

Examples

Example patterns, not customer disclosures.

We do not publish undisclosed customer material, data samples, or internal results. Discussable patterns include private dataset packaging, LoRA adaptation, model fusion, evaluation reports, local runtimes, private deployment runbooks, and FDE support.

example pattern · public material pending approval · operations / internal tools

Private model workflow for operations and internal tools

Example engagement pattern for teams building private model workflows around internal procedures, customer-sensitive records, automation, and controlled deployment.

DEPLOYMENT: private-cloud / customer-vpcDeliverables: Evidence Pack / Evaluation ReportDISCLOSURE: No customer name, metric, logo, or internal material shown.

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example pattern · public material pending approval · research / IP

Private model workflow for research and IP-heavy studios

Example engagement pattern for research and IP-heavy studios that need private model workflows over proprietary knowledge.

DEPLOYMENT: customer-vpc / air-gappedDeliverables: Dataset Package / LoRA Adapter + EvidenceDISCLOSURE: No customer name, metric, logo, or internal material shown.

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example pattern · public material pending approval · content / design / production

Local model workflows for content and production teams

Example engagement pattern for studios that want local model workflows around style, production assets, reusable knowledge, and review sets.

DEPLOYMENT: apple-silicon / private-cloudDeliverables: Deployment Runbook / Evaluation ReportDISCLOSURE: No customer name, metric, logo, or internal material shown.

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public · local-product

SayIt: local speech input without cloud transcription

SayIt demonstrates how local speech input can become a private product workflow without relying on cloud transcription.

DEPLOYMENT: apple-siliconDeliverables: Local product workflow / Privacy-first UXDISCLOSURE: No customer name, metric, logo, or internal material shown.

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Technical heritage

A systems background, now focused on private AI.

Privacy engineering / Data platforms / Distributed infrastructure / Cryptographic systems / Local-first product design / AI/ML systems