Life of Dan

Craft-focused DJing: flow, tension/release, reading the room

Repeatable performance systems (prep → set → post-set review)

Library + history turned into insight: what I play, when I peak, how my taste evolves

Preference for tooling that makes digging, tagging, and set planning faster

Art-Net/DMX control and show-logic thinking 🎛️

Addressable LEDs (e.g., WS2811) and effect design 🌈

Reliability details: timing, transport, power/grounding, stable signalling

Bridging DJ/audio ↔ visuals so it feels like one unified performance

Building “real tools,” not throwaway scripts 🧰

Next.js/TypeScript frontends with UX that makes data easy to explore

Python services/backends for processing, automation, and APIs

Reports + dashboards that are readable, shareable, and aesthetic

Local model experimentation and workflow integration 🤖

Prompting + pipeline design for consistent outputs

Performance tuning and reproducibility (repeatable runs, predictable results)

Treating AI as a component in a system, not a novelty

Segmented networks/VLAN-style thinking for clean separation 🧱

Services that discover and communicate reliably (less “random spikes”)

Storage/compute planning and “keep it running” operational habits

Preference for stable foundations that unlock creative builds

Microcontrollers + GPIO projects that interact with the real world ⚡

Safe/robust wiring decisions: isolation, conversion, noise resilience

Practical integration: sensors, indicators, control interfaces

Reliability-first builds that survive real use

Data interpretation with a business lens: what matters, what it means 📊

Clear professional communication (structured, actionable output)

Privacy-aware, consent-first handling of information 🔒

Preference for scoped access and responsible data flows

Linux