// hey, I'm

Angel.

I build

20-year-old developer with a habit of making tools the internet is missing.

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Building software that actually matters.

I'm 20, and I've been absorbed by technology for as long as I can remember. Every project I start comes from the same place — I see a gap, a frustration, or an idea that should already exist, and I build it. Not for the résumé. Because it should exist.

My work tends to live at the intersection of music, automation, and the web. I'm drawn to problems other people have looked at and walked away from. I'm always in the middle of inventing something new, and I have no intention of slowing down.

Python JavaScript GUI Dev Userscripts Audio Engineering Web APIs Automation Open Source
0 years old
0+
projects shipped
cans of arizona consumed

Projects.

What I've shipped so far — more in progress.

AudioAuditor
Featured C#

AudioAuditor

A Windows desktop app for serious audio quality analysis. Detects fake lossless files, digital clipping, MQA encoding, and AI-generated audio with confidence scoring. Packs a full audio player with 10-band EQ, spatial audio, spectrogram viewer, Discord RPC, Last.fm scrobbling, and 10 themes.

.NET 8 / WPF NAudio FFT Analysis AI Detection 10 themes
Python

SheetDL

A Python desktop app that downloads entire music collections tracked in a Google Sheet. Supports 20+ sources — YouTube, SoundCloud, MEGA, Google Drive, and more — with a download queue, pause/resume, smart folder organization, and album art.

yt-dlp Sheets API CustomTkinter 20+ sources
Netflix
JavaScript

Bring Back Netflix Icons

Restores 985 retired Netflix profile icons across 103 shows. Applied server-side via Netflix's own GraphQL API — so they appear on every device tied to your account.

Userscript Netflix API 985 icons
JavaScript

Pinterest Power Menu

The all-in-one Pinterest userscript. Original-quality images, full board downloader, no login walls, GIF hover play, declutter, and a full settings panel — all without any external dependencies.

Userscript File System API SPA-aware
MQA Toolkit
Python

MQA Toolkit

Cross-platform toolkit for detecting, analyzing, organizing, and exporting MQA-encoded FLAC files. Uses deep PCM audio analysis to find the embedded sync word — no metadata tags needed. Works on Windows, macOS, and Linux.

Audio Analysis FLAC / PCM Cross-platform

Connect.

Open to collabs, conversations, or just saying hi.