SlamPunk — Dynamic Mix Engine
Lead Audio Systems Designer & Music Producer
A logic-driven dynamic audio engine for SlamPunk — a competitive future-sport game blending tag and basketball. Engineered a 15-stem interactive music system that mirrors player performance in real time, escalating from a minimal atmospheric floor to a dense triumphant climax while maintaining surgical clarity for competitive gameplay cues.
Timeline
14 weeks / ~600hrs
Architecture
15-stem / 3 intensity layers
Unreal Engine 5
MetaSounds
Blueprints
FL Studio 24
REAPER v7
Vital (Wavetable)
15-stem dynamic music system split across 3 match intensities and 5 discrete instrument busses
Real-time sidechain ducking — music stems duck dynamically when parkour SFX or commentator lines trigger
Hierarchical submix tree with spectral carving — Data Bus hard high-passed at 200Hz to preserve low-end headroom
Global Music Manager Blueprint locks all transitions to 140 BPM grid — zero rhythmic stutter on intensity escalation
Fully modular pipeline — new arenas and themes hot-swap into established mix framework without breaking thresholds
Ramone — Local AI System
Architect & Systems Engineer
A fully self-hosted private AI infrastructure — zero cloud dependency, zero data egress. Five LLMs served via Ollama on local hardware, wrapped in Docker, accessed through Open WebUI with ten specialised workbots backed by RAG knowledge bases. Everything lives on a dedicated NVMe drive: portable, rebuildable in under 30 minutes.
Models
5 LLMs / 3b–32b params
Workbots
10 specialised agents
Ollama
Docker
WSL2
Ubuntu
Open WebUI
RAG Pipelines
Windows Batch
Full data sovereignty — conversations, documents, and RAG knowledge bases never leave local hardware
Custom ATLAS_BOOTSTRAP.bat auto-starts full stack on boot — Docker, Ollama, Open WebUI with live health checks
RAG knowledge bases built from chunked university lecture PDFs — Academic Vector Index grounded in real course material
Hardware portable — entire system on L:\ NVMe, rebuildable on new hardware in under 30 minutes
Model selection matched to task profile: 3b for speed, 32b for deep reasoning and RAG retrieval
SONIN — Generative Audio-Visual System
Designer & DSP Engineer
An autonomous digital instrument built in Max/MSP that composes its own evolving music and visuals in real time by continuously listening and reacting to the sounds it creates. A dual-engine architecture (melodic and granular) connected by an internal audio feedback loop; the system analyses its own output and routes that data back into its own generative parameters.
Architecture
Dual-engine + feedback loop
Visual
GPU pipeline via Jitter
Max/MSP
Jitter
poly~
pfft~
pattrstorage
jit.gl.slab
Scale-constrained melodic engine using coll lookup tables — infinite variation that never leaves the key
Granular engine with dynamic micro-fade voice management — runs at maximum density without DSP artifacts
Internal RMS and spectral brightness feedback loop creates genuine cause-and-effect between engines
Non-linear logarithmic scaling prevents feedback runaway — system settles into stable evolving states
Full GPU visual pipeline via jit.gl.* — pixel math offloaded to graphics card, audio thread unaffected
