New song — Wanna Sleep · in the works Chicago · 41.85°N 87.65°W
Personal site · est. 2026

Stavion
Colquitt

Audio ML Engineer, Senior AV/AI Engineer, and Recording artist in Chicago. I build stuff!

10+
Open-source
projects
5+
Records
released
∞
Domains
still to learn
01

Work

Real-time speech enhancement, edge ML, and production AI architecture and much more! Selected open source below — more on GitHub.

Audio ML Noise Reduction

2026

Real-time background noise suppression for Teams and Zoom. Custom U-Net trained on DNS Challenge 4. ONNX CPU inference. Built from scratch — dataset, model, training, live pipeline.

  • PyTorch
  • ONNX
  • Real-time DSP
  • U-Net
View repo →

Hybrid RAG Pi

2026

Production hybrid retrieval combining Qdrant (vector) and SQLite FTS5 (keyword), plus hierarchical conversation memory with LLM-powered fact extraction. Deployed on Raspberry Pi 5.

  • Node.js
  • Qdrant
  • FTS5
  • Docker
  • Edge
View repo →

Audio Analysis MCP

2026

Real-time audio analysis as an MCP server — frequency reports, stereo imaging, mix analysis, key detection. Built to let AI assistants reason about what's playing during a production session.

  • MCP
  • Python
  • Real-time
  • DSP
View repo →

Spectrogram Reader

2026

See what audio processing actually does. Interactive STFT explorer across linear, mel and MFCC scales — plus an A/B difference view on a shared dB reference that shows exactly what a plugin, filter or bounce changed.

  • librosa
  • Streamlit
  • STFT
  • DSP
View repo →
02

Music

I write and produce as Stavion Colquitt. Singer, pianist, and engineer of my own records. New material in the pipeline; older work below.

03

Research

Under construction

Write-up in progress

Current project: an AI backing vocalist. Existing tools execute an arrangement decision you have already made — pick the harmony, set the interval, print it. This system makes the decision instead. Given a lead vocal, the instrumental and the lyrics, it predicts what belongs on each beat: a double, a harmony, a call and response, an ad‑lib, a sound effect, or nothing at all.

Trained on separated stems from my own catalogue, where I know what was sung and why it was sung there. Being written up with two research advisors. More here once it is further along.

04

Study

  1. 2026–2028

    M.S., Artificial Intelligence

    Lewis University

    Currently enrolled
  2. 2025

    CCNP Collaboration

    Cisco

  3. 2025

    Dante Level 3

    Audinate

  4. 2022

    B.S., Digital Audio Recording Arts

    University of St. Francis

05

Socials

Where I show up online — music drops, work in progress, the occasional life moment.

06

Connect

Best for: research collaborations, audio ML conversations, music questions. Slow for cold outreach — I read carefully before I reply. For more on who I am, head to about me.