Kyle Dotterrer

Projects

  1. Neural Networks and Language Models
    A series building neural networks and language models from scratch, starting at automatic differentiation and working up to models that generate natural language. Each post has accompanying source code.
    Code
  2. Artificial Intelligence Development Environment (AIDE)
    Architect and technical lead for AIDE, a batteries-included platform for collaborative data science, machine learning, and model deployment spanning the MLOps lifecycle.
    Artificial Intelligence Integration Center
    Site
  3. Aided Target Recognition from Mobile Cooperative and Autonomous Sensors
    Data and machine learning engineering on ATR-MCAS, a joint effort with Carnegie Mellon’s National Robotics Engineering Center.
    Artificial Intelligence Integration Center
    Coverage
  4. Profile Generation and Guided Optimization for Compiled Queries
    A course final project investigating whether dynamic optimization techniques could improve runtime performance in a data-centric code generation DBMS engine.
    Carnegie Mellon University
    Report Code