Heart Disease MLOps — MLflow + Streamlit Deployment

A full MLOps cycle — dataset → MLflow-tracked experiments → production registry → Streamlit deployment in two patterns (embedded vs. API-backed).

<span title='2025-06-30 00:00:00 +0000 UTC'>June 30, 2025</span>&nbsp;·&nbsp;1 min&nbsp;·&nbsp;Luis Núñez

Garmin Virtual Coach — AI-Powered Training Insights from Wearable Data

Full-stack data pipeline that ingests Garmin wearable data (25+ endpoints), computes training analytics, and serves personalized AI coaching via a Streamlit web app.

<span title='2026-05-01 00:00:00 +0000 UTC'>May 1, 2026</span>&nbsp;·&nbsp;4 min&nbsp;·&nbsp;Luis Núñez