Selected work

Working products and systems that make the thinking tangible.

A collection of platforms, apps, protocols, and experiments exploring AI, blockchain, analytics, private memory, semantic discovery, and new interfaces. Not a generic portfolio. A proof layer for systems judgment.

Bittensor Investor Intelligence

dTAO Analytics

A Bittensor investor platform with market analytics, benchmark portfolios, risk signals, AI trading agents, and on-chain execution.

Problem explored

Bittensor subnet investing is complex, noisy, and hard to act on without structured analytics, risk context, and execution tooling.

What was built

A live platform for Bittensor investors with market intelligence, model portfolios, benchmarks, risk sentinel signals, AI agents, and Subtensor-backed data provenance.

Investor analyticsRisk signalsModel portfoliosAI trading agentsOn-chain execution

Current status: Live platform

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Semantic Discovery

GitHub Resonance

A semantic discovery tool for finding developers and projects by similarity, intent, and technical signal.

Problem explored

Technical discovery usually depends on keywords, follower counts, or shallow labels instead of deeper similarity.

What was built

A discovery interface using embeddings, repository signals, profile data, and similarity search.

EmbeddingsSemantic searchDeveloper discoveryProduct UXIdentity graphs

Current status: Working app

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Multiverse Resonance Protocol

MuRP

A working Solana-based experiment for creating on-chain universes, identity artifacts, token-gated spaces, and resonance-style social discovery.

Problem explored

Web2 trapped identity inside walled gardens. Web3 made data portable, but often left people exposed. MuRP explores owned social spaces and resonance-style discovery.

What was built

A working app concept with universes, stars, privacy modes, gating, planets, wormholes, and solar systems: a capability demonstrator for decentralized human connection.

Solana programsPrivate resonanceOn-chain universesToken gatingEncrypted messaging

Current status: Working app

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Private Reflection Archive

Echo

A local-first journal where new reflections resonate with old ones, surfacing forgotten thoughts, patterns, and moments across time without your words ever leaving your device.

Problem explored

A private inner world should not be monetized, tracked, judged, or used for AI training. But it should still be able to remember itself.

What was built

A browser-based reflection archive with local AI that connects each new echo to past echoes by meaning, helping old thoughts resurface when they are relevant again. It also supports future-dated echoes, private time-space maps, and owned backups, with no cloud account required.

Reflection resonancePrivate journalingLocal AIPast echoes resurfacedTime-space mapsFuture echoesOwned backups

Current status: Working app / used personally

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Reflective AI

Gospel Lens

A retrieval and reflection tool connecting user input with gospel passages and interpretive commentary.

Problem explored

Meaningful reflection needs better retrieval, context, and care than generic chatbot responses.

What was built

A focused product concept using semantic search, retrieval, generated commentary, and a calm reading experience.

RAGSemantic searchAI interpretationContent UXReflective design

Current status: Working app

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AI Music Experiment

Botify

A playful working experiment around AI-generated music: music for bots by bots.

Problem explored

Not every technical exploration needs to become a platform. Some are small experiments that test taste, tooling, and interface ideas.

What was built

A focused app concept for AI music generation and presentation, kept deliberately lightweight and experimental.

AI mediaCreative toolingProduct tasteLightweight UXExperimentation

Current status: Working experiment

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Operating experience

Critical infrastructure leadership, not just experiments.

My latest employed role was Transport Network Manager, Network Engineering at 3 Danmark, where I led a team of ten engineers responsible for planning, developing, and operating the IP transport and backbone network.

The work included major fiber rollout, router platform upgrades, large wireless point-to-point generation shifts, RFP/RFQ processes, vendor decisions, and automation of network analytics, including a self-built machine learning system for root cause analysis.

That background is the operating layer behind the newer AI, blockchain, analytics, and private-tool work: systems thinking grounded in infrastructure that had to run.

Use the work

Need this kind of judgment on your product?

I help technical teams turn ambiguity into clearer decisions, sharper systems, and a build path that survives contact with reality.

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