I build AI systems, presence infrastructure, and developer tools that operate at the boundary where technology becomes invisible: running on your hardware, under your control.
Everything under the Liminal umbrella shares one conviction: the most powerful technology is the kind that disappears into your environment. Local inference. Privacy by architecture. Zero cloud dependency.
An always-on AI that runs entirely on consumer hardware. All behavioral intelligence lives in deterministic code rather than prompt engineering, so the model underneath is a commodity and the system around it is the product. Patent-pending orchestration.
A VS Code instrument that answers three questions at a glance: where am I, what changed, and what happens when I push. Live repository verification rendered as a single vertical readout.
Algorithmic trading engine built on a J-pattern detection system with an 8-state finite state machine. Runs live and fully audited: every fired signal is logged and resolved, and the whole session reconstructs from the decision ledger. Survives crashes, reboots, and market holidays without a human in the loop.
Receipt capture and categorization. Pulls line items, vendors, and totals from photos and PDFs, backed by a 4.3-million-product barcode catalog, and feeds structured data into personal and business accounting.
A fully local wine cellar tracker. Every bottle runs a lifecycle from ordered to poured, grounded by a 100,646-wine reference database with on-device label reading. Your cellar, your data, your network.
Local video-comprehension pipeline. Transcribes audio, deduplicates frames, and recovers the on-screen text the narration never says: 85% of frames pruned, 1,295 lines recovered from a single source. CPU-only, no cloud.
A self-hosted calendar cockpit for the household: standards-based calendar server, installable app with month, week, and day views, recurring events, external calendar sync, and nightly verified backups. Family logistics on family hardware.
CLI tool for training and deploying custom wake words. CPU-only inference, Docker-first, portable ONNX output. Built for edge devices that need always-on voice without a cloud round-trip.
Structured multi-agent deliberation. Independent AI instances work through a shared workspace, one driving execution and one driving critical analysis, across dedicated build and deliberate modes.
An always-on local assistant with voice and vision, autonomous agents running on my own hardware, and local document comprehension. Details when the filings clear.
I believe the next generation of intelligent systems won't live in distant data centers. They'll run on your hardware, in your space, under your control. Every tool I build prioritizes local inference, privacy by architecture, and the principle that the best technology is the kind you stop noticing.
The engineering philosophy is simple: all behavioral intelligence lives in deterministic code. Models are commodities, replaceable and benchmarked and never the moat; the system around them is the product. That makes what I build vendor-proof, auditable, and able to outlast any single model generation.
If it can run on your hardware, it should. Cloud is a fallback, not a foundation.
Swap the model, keep the system. The architecture survives any vendor decision.
Intelligence in code, not prompts. Testable, auditable, reproducible behavior.
Your data never leaves your network. No telemetry, no training, no exceptions.
Tests are contracts. Thousands of them run across the portfolio, on every build.
Liminal Technologies Group is my IP holding company and development lab. I build at the intersection of AI infrastructure, enterprise operations, and edge computing.
Liminal is one person, deliberately. The leverage is the thesis itself: AI systems doing real work under deterministic control, on my own hardware, building alongside me. The portfolio above is both the product and the proof.
My background spans enterprise ERP implementations, automation at scale, decades of hands-on industrial and fabrication work, and AI systems integration. The kind of engineering that only comes from solving real problems in production, not in a lab.
Local AI infrastructure, systems built to survive vendor churn, and automation that ships. Inquiries, partnerships, and interesting problems welcome.
Book a callOr reach me directly at [email protected]