Christopher theelderemo

I spent years inside classified networks, SIPRnet, compartmented systems, environments where bad configuration isn't a learning opportunity, it's an incident. That background made me obsessive about how things actually work under the hood, and impatient with software that cuts corners on security.

Now I channel that into building: production-grade tools I maintain myself, open-source utilities that scratch real itches, and contributions to projects I actually use. Most of what I ship lives at the intersection of AI, audio/music, and security tooling.

Bootstrapped, solo-dev AI workstation for lyric writing and music production — now a multi-app platform spanning 3 deployments, 3 separate codebases, and 9 proprietary model variants. Grew from a personal tool to daily active users and paying subscribers with zero advertising.

Platform surfaces:

App	Stack	Status
vrsa.app	React + Vite + Capacitor 8	Live
studio.vrsa.app	Next.js 16 + TypeScript + Docker	Live
generate.vrsa.app	Next.js + React + Zustand + WaveSurfer.js	WIP

Platform Architecture

graph TB
    subgraph USER [" "]
        direction LR
        Web["🌐 Web"]
        PWA["📱 PWA"]
        Android["🤖 Android"]
    end

    Web & PWA & Android --> A

    subgraph APPS ["Three Deployments"]
        A["<b>vrsa.app</b> React · Vite · Capacitor · 32 routes · 50 components · 9 hooks · Ghostwriter · Canvas · Audio Analyzer · Suno Bridge · Album Art · Rights Mgmt"]

        B["<b>studio.vrsa.app</b> Next.js · TypeScript · Tone.js · Browser DAW — 16 tracks · 64 clips · Piano Roll · Drum Sequencer · Waveform Editor · 1,300 lines of synth presets · MIDI I/O"]

        C["<b>generate.vrsa.app</b> Next.js · TypeScript · Zustand · 11 pages · 8 stores · ~120 components · 7 gen modes · AI Radio · AI DJ · LoRA Training · WaveSurfer.js"]
    end

    Web --> B & C

    subgraph AUTH ["Shared Auth Layer"]
        D[("Supabase · .vrsa.app cookies · RLS · Edge Functions · RPCs · Storage")]
    end

    A & B & C --> D

    subgraph GPU ["Modal Backend — H100 GPU"]
        E["Async Spawn/Poll · 600s Timeout · Persistent Weight Volume"]
        E --> F["<b>6 DiT Models</b> v1.5 · v1.5-stream · v1.5-craft · v1.5-core · v1.5-shift3 · v1.5-shift1"]
        E --> G["<b>3 LM Models</b> pulse-nano 0.6B · pulse 1.7B · pulse-pro 4B"]
    end

    D --> E

    subgraph LLM ["Multi-Provider LLM Routing"]
        H["GPT · Claude · DeepSeek · Gemini · Grok · Kimi K2 · MiniMax · Mistral"]
    end

    A --> H

    subgraph MEDIA ["Media Generation"]
        I["Flux 1.1 Pro · Flux 2 · Sora via Azure OpenAI"]
    end

    A --> I

    subgraph INFRA ["Infrastructure"]
        J["107 API Endpoints · Vercel · Docker · Sentry · Honeybadger · Amplitude · Intercom · Cloudflare Turnstile · FingerprintJS · Crowdin i18n"]
    end

    style USER fill:transparent,stroke:#58A6FF,stroke-width:2px,color:#58A6FF
    style APPS fill:transparent,stroke:#8B5CF6,stroke-width:2px,color:#8B5CF6
    style AUTH fill:transparent,stroke:#3ECF8E,stroke-width:2px,color:#3ECF8E
    style GPU fill:transparent,stroke:#F97316,stroke-width:2px,color:#F97316
    style LLM fill:transparent,stroke:#EC4899,stroke-width:2px,color:#EC4899
    style MEDIA fill:transparent,stroke:#EAB308,stroke-width:2px,color:#EAB308
    style INFRA fill:transparent,stroke:#6B7280,stroke-width:2px,color:#6B7280

VRSA v1.5 — AI Music Generation Engine:

Custom cloud inference backend running **6 DiT + 3 LM model variants** on H100 GPUs, all served from a persistent weight volume with async spawn/poll architecture:

VRSA Name	Type	Description
vrsa v1.5	DiT (default)	Turbo — balanced speed + quality
vrsa v1.5-stream	DiT	Continuous generation mode
vrsa v1.5-craft	DiT	SFT — higher fidelity
vrsa v1.5-core	DiT	Base model
vrsa v1.5-shift3 / shift1	DiT	Flow-shift variants
vrsa-pulse-nano	LM 0.6B	Fast token-level generation
vrsa-pulse	LM 1.7B	Balanced LM
vrsa-pulse-pro	LM 4B (default)	Full reasoning + CoT metadata

7 task types:


Text to Music	Music to Music	Cover	Repainting	Extracting	Section by Section Build	Complete

Output formats: mp3 · flac · wav · wav32 · opus · aac Generation surface: BPM, key/scale, time signature, guidance scale, ODE/SDE sampling, CFG interval, latent shift/rescale, batch size up to 8

30+ page modules in vrsa.app:

Module	Description
Ghostwriter	Chat-based lyric generation with session memory, multi-model A/B mode, take history, and album-context awareness
Canvas	Notion-inspired editor with inline AI edits, syllable counter, rhyme heatmap, and MP3 transcription
Suno Bridge	Chrome + Firefox extensions that capture auth tokens and route lyrics directly to the Suno with version picker (v4 → v5)
Audio Analyzer	BPM + key/scale detection via custom VM audio engine running Essentia.js WASM
Album Art	Flux 1.1 Pro, Flux 2, and Sora via Azure OpenAI deployments
Multi-model routing	GPT, Claude, DeepSeek, Gemini, Grok, Kimi K2, MiniMax, Mistral across OpenAI, Bedrock, OpenRouter, and Google APIs
Rights Management	Proof-of-creation PDF certificate generator
MyMusic / Projects / AlbumWorkspace	Full library, project, and album management
AdminPanel	Platform administration, really just a view only style cms for me to see stats
StudioPass	Subscription and billing management
Mobile	Capacitor 8 Android build + full PWA support

Infrastructure:


Auth	Cross-subdomain cookies scoped to `.vrsa.app`, shared across all three apps
Compute	Modal async generation pipeline, H100 GPU, 600s timeout, persistent weights volume
API	107 endpoints mapped and routed
DevOps	Crowdin i18n workflow, Docker + docker-compose, multi-project deployment

App: vrsa.app · Studio: studio.vrsa.app · Generate (WIP): generate.vrsa.app

A curated list of 100+ AI-powered audio tools across 16 categories: music creation, voice cloning, stem separation, TTS, transcription, sound detection, and more.

HeartLib Script

Optimized scripts for running HeartMuLa music generation with maximum performance on NVIDIA GPUs, especially A100.

Ollama Stack

Full Ollama stack running on Google Colab with Gradio as a UI — spin up a local LLM in your browser with zero local setup.

Wan 2.2 Video

Plug-and-play Colab notebook for Wan 2.2 — an advanced image-to-video model — stripped down to just work.

This was a proof of concept project for myself. Open-source AI-powered penetration testing agent that automates reconnaissance, vulnerability discovery, and analysis. Executes authorized security tests using installed tools, maintains immutable audit trails, and delivers findings with OWASP mapping and remediation guidance. Fair warning, it's a monorepo.

A comprehensive, unified research archive aggregating public releases related to the Jeffrey Epstein estate and associated investigations.

When the U.S. House Oversight Committee released 20,000+ pages of unstructured documents, the data was technically public but practically inaccessible. I built a forensic analysis tool to change that.

Search Engine:: — Local RAG-ready search interface via Gradio for rapid keyword and passage analysis across the full corpus.
Governance:: — Established a Responsible Use Framework to prevent misuse while keeping the tool genuinely open for researchers and journalists.

The original eDEX-UI — a well-known sci-fi terminal emulator — was archived with an unresolved security vulnerability. I forked it, patched the flaw, modernized the codebase, removed all deprecated dependencies, and cut a clean release.

All legacy code has been replaced, minor additional vulns remediated, and the dependency tree is fully up to date.

Contributed a helper function to automate efficient SQL datatype selection for pandas DataFrames — reducing manual overhead and ensuring optimal storage across schema generation workflows.

Local AI chat workbench with multi-provider support (AWS Bedrock, OpenAI, Azure, Gemini) - Deno-powered server with browser-based UI

Certifications