Hi — I'm Jordan. I build reliable, reproducible classical machine learning systems in Python and ship them with Docker. Lately I've been expanding into React for lightweight web UIs and demos.

Website — contact form

• 🔬 Focus: classical ML (scikit-learn, feature engineering, model validation)
• 🐍 Primary language: Python
• 🐳 Deployment: Docker / docker-compose
• ⚛️ Frontend: React (Vite)
• ☁️ Interests: model reproducibility, lightweight inference APIs, pragmatic MLOps
• 👪 Fun fact: I'm a triplet

I enjoy turning data into reliable predictions and shipping them in a maintainable way. My work emphasizes solid validation, clear data contracts, and repeatable environments (tests + containers). On the front end I favor small, focused React apps for demos and tooling.

• Modeling: scikit-learn, statsmodels, feature engineering, cross-validation, hyperparameter tuning
• Data: pandas, numpy, SQL
• Deployment & infra: Docker, docker-compose, basic CI, REST APIs (FastAPI)
• Languages: Python, JavaScript (React)
• Testing & reproducibility: unit & integration tests, deterministic pipelines, reproducible envs

• model training & experiments in Python (notebooks or scripts)
• model export (joblib / ONNX / well-documented artifact)
• small FastAPI service that loads the artifact and exposes /predict
• lightweight React frontend for demos, wired in docker-compose for local runs

• Live Object Detection — real-time object detection demo and utilities
  https://github.com/jordanallred/Live-Object-Detection

• Rock Paper Scissors — an interactive demo/game (frontend + optional model or logic)
  https://github.com/jordanallred/rock-paper-scissors

• Friend — tooling / demo project (see repo for README and live/demo notes)
  https://github.com/jordanallred/friend

• Model type: classical classifier / regressor (scikit-learn)
• Dataset: short description + link
• Evaluation: primary metrics (AUC, RMSE, calibration)
• Limitations: known biases, small sample issues
• Intended use: production inference for X; not to be used for Y

• CI:
• Coverage:
• Add GitHub Readme Stats: https://github-readme-stats.vercel.app

• Website & contact form: https://jordanallred.dev