Overview

Master ML/AI engineering fundamentals through project-based learning and deployment. Focus on solving personal problems first.

Philosophy

Build tools that scratch own itches. Elite status proven by useful ML systems in daily use, not papers or user counts.

Project Ideas

  1. Workout Plan Optimizer - Use training history to suggest optimal progressions
  2. Content Idea Generator - Analyze past content performance to suggest topics
  3. Log Analyzer - Extract deeper insights from daily logs
  4. Automated Planning Assistant - ML-powered daily prioritization

Learning Resources

  • End-to-end ML project courses
  • Open source ML library contributions
  • Building in public documentation

Integration with Other Goals

  • ML tools can enhance the startup product
  • Training data from triathlon journey
  • Content from documenting learning