Hi, I'm Ethan Stoner

Pincer — Real-Time Computer-Vision Agent

Python PyTorch Computer Vision

Built: A real-time computer-vision agent that drives physical Android phones autonomously to play a mobile game — streaming live video off each device over USB, locating targets with a fine-tuned YOLO11 detector, and executing the on-screen gestures to act on them, closing the perception → decision → actuation loop end to end.

Hands-On Work: Fine-tuned YOLO11-small on 5,400+ self-collected frames via a self-supervised data flywheel — the running agent labels its own training data, corrected through a human-in-the-loop review UI, then retrained on a train → validation-gate → ship pipeline with ONNX export. Cut per-frame capture from ~600ms to ~1.3ms and each tap from ~200ms to ~20ms; multi-device orchestration with self-healing recovery and a live MJPEG monitoring dashboard.

Why It Matters: My most technically deep project — a complete perception-to-actuation loop with a self-improving ML pipeline, 127 automated tests, and structural safety invariants enforced in code and covered by tests, so it runs unattended for hours.

Real-Time Detection Self-Training Flywheel 127 Automated Tests

Qorlyt — Image-to-3D Generator

Python FastAPI WebSockets

Built: A live, self-hosted web product (qorlyt.com) that turns a single image into a textured .glb 3D model in about 80 seconds via a local ComfyUI + Hunyuan3D 2.1 GPU pipeline.

Hands-On Work: A persistent WebSocket to ComfyUI maps per-node progress back to each user in real time; an async job queue serializes GPU work with live queue position and ETA; every generation is stored with an in-browser 3D viewer. Shared-password auth, GPU health pings, persistent history.

Why It Matters: End-to-end ownership of a real deployed AI product — web delivery, local inference, real-time systems, and reliability engineering.

GPU Inference Real-Time Progress 3D Generation

kvstore — Redis-Compatible Database

Java 21 RESP Protocol LSM-Tree

Built: A persistent, Redis-compatible key-value database written from scratch in Java 21 — an LSM-tree storage engine behind a TCP server that speaks the Redis RESP protocol, so standard Redis clients connect to it directly.

Hands-On Work: Built the LSM-tree engine end to end — write-ahead log, leveled compaction, bloom filters, and concurrent flush — plus TLS, multi-user auth, pub/sub, and snapshots. Covered by 203 automated tests.

Why It Matters: A systems-programming showcase — durable storage, concurrency control, and wire-protocol compatibility — the database and distributed-systems fundamentals that back real cloud infrastructure.

LSM-Tree Engine 203 Automated Tests RESP + TLS

Roblox UGC Pipeline

ComfyUI Live Revenue

Built: A self-hosted local-GPU ComfyUI pipeline that designs and renders Roblox UGC accessories end to end, then publishes them to the Roblox Marketplace.

Hands-On Work: Runs image-generation models entirely on local GPU hardware (no paid API), with a repeatable prompt-to-asset workflow for producing and publishing sellable items at volume.

Why It Matters: 9,945 items sold to date generating ~$150/month recurring — real, monetized proof of local model inference and GPU workload management at scale, not just a demo.

~10K Units Sold Local GPU Inference Recurring Revenue

Lyric Generator

Python FastAPI ffmpeg

Built: Paste a Spotify link, get a brat-style lyric video. A FastAPI pipeline: Spotify metadata -> local / yt-dlp audio -> Whisper word-level timing (LRCLIB fallback) -> Pillow frame rendering -> ffmpeg mux.

Hands-On Work: Async job queue, graceful failure handling on every external call, packaged with pyproject.toml, MIT-licensed, and tested in GitHub Actions CI on every push.

Why It Matters: A polished, CI-tested, packaged Python project — production discipline end to end.

Whisper Timing CI Tested pyproject Packaged

yt2tiktok

Python ffmpeg / NVENC

Built: A desktop app that turns any YouTube video into scheduled, captioned vertical TikTok clips.

Hands-On Work: Splits into 60-70s segments (silence-based or LLM cliffhanger cuts), burns in word-by-word karaoke captions (6 style presets), NVENC GPU encoding with CPU fallback, parallel encoding (2-4x faster), and hybrid transcription — YouTube captions with automatic local Whisper fill-in for censored words.

Why It Matters: Real media-processing engineering: GPU acceleration, concurrency, and a polished desktop UI.

NVENC Encoding Karaoke Captions Parallel Encoding

CSUSM Campus Monitor

Python FastAPI OpenCV

Built: A real-time occupancy monitor for CSUSM campus locations that uses computer vision to detect people in live camera feeds and serve crowd data through a web dashboard.

Hands-On Work: Captured HLS video streams via ffmpeg, ran YOLOv8 person detection with custom false-positive filtering (rolling-window spatial tracker), built a FastAPI backend with SQLite time-series storage, and created an interactive dashboard with live video, heatmaps, and best-times recommendations. Dual detection backend supporting both local YOLO and Frigate NVR via MQTT.

Why It Matters: Solves a real campus problem and demonstrates computer vision, full-stack development, systems integration, and data engineering. Test suite with CI pipeline.

Computer Vision Real-Time Detection CI/CD

Senior TV

Python Linux

Built: An open-source kiosk entertainment and care system for seniors with dementia/Alzheimer's — one mini PC, one TV, one install.sh.

Hands-On Work: 6-button remote, self-healing services, HDMI-CEC TV control, and fully remote-managed for caregivers. Built for two 95-year-olds who watch TV 8+ hours a day.

Why It Matters: Real human impact, accessibility-first design, and a self-healing self-hosted system.

Accessibility HDMI-CEC Self-Healing

Auto YouTube Pipeline

Python Playwright

Built: A fully automated, zero-human-interaction YouTube content pipeline.

Hands-On Work: Records animated race videos via headless Playwright, encodes and mixes audio with FFmpeg, and uploads on a rate-ramped cron schedule via the YouTube API. 76 race types, parallel batch recording.

Why It Matters: End-to-end automation: browser control, media encoding, API integration, and scheduling with zero manual steps.

Automation Cron Scheduling YouTube API

GSI Sand & Gravel

Next.js React

Built: A production marketing website for GSI Sand & Gravel, a Southern California sand & gravel supplier serving the region for 30+ years.

Hands-On Work: Responsive Next.js site presenting the company's services, coverage area, and contact funnel. Managed deployment, DNS, and ongoing maintenance.

Why It Matters: Real paid client work — shipped and live for an actual business.

Client Work Responsive Design DNS & Hosting

Hunyuan3D-2.1 Install Guide

9 Stars Docs

Built: A comprehensive, step-by-step guide for installing Hunyuan3D-2.1 with ComfyUI on Windows.

Hands-On Work: Documented the full GPU setup, dependency resolution, and model installation from real troubleshooting.

Why It Matters: My most-starred repo — used by the community to get a complex AI 3D pipeline running.

Technical Writing GPU Setup

Built hands-on experience with AWS fundamentals, debugging, and real-world technical issues in mentored projects.

Used Git-based workflows to make code updates, work across branches, and submit pull requests for review while collaborating with experienced engineers.

AWS Fundamentals Git Workflows Debugging

Design, build, and ship marketing websites for real paying clients — handling the full engagement from layout and build through deployment, DNS, and ongoing maintenance.

Most recent: a production Next.js site for GSI Sand & Gravel, a Southern California supplier serving the region for 30+ years (gsi.fluximetry.com).

Next.js Client Delivery DNS & Hosting

Represented the company at markets and events, answered customer questions, and handled cash and digital transactions accurately.

Also tested Stripe payment flows for the Cheryl's Caramels ecommerce site before release to verify checkout and payment reliability.

Customer Service Communication Stripe Testing

Co-founded a residential trash can power washing business and worked directly with customers from scheduling through service completion.

Managed scheduling, customer communication, cash handling, and income and expense tracking while delivering services reliably.

Entrepreneurship Customer Communication Scheduling