Katie Huynh

About Katie Huynh

I\'m a Machine Learning Engineer specializing in applied ML, Generative AI, and large-scale production systems. I design and deploy end-to-end ML models and pipelines, from feature engineering and embeddings to model deployment and monitoring that power personalization, segmentation, and forecasting at scale.My work bridges advanced research and production ML engineering, ensuring that cutting-edge models deliver measurable business impact. From developing user personalization models that improve recommendations and targeting, to deploying production-ready Generative AI systems, I\'m also beginning to explore agentic AI systems that enable more autonomous and adaptive decision-making.I approach ML as both an engineer and a product builder: translating complexity into clarity and ensuring every model I ship delivers a memorable experience.

Experience

1. Machine Learning Engineer

   General Mills

   Jul 2024 — Present

   Driving applied machine learning and Generative AI solutions to deliver scalable, production-ready systems that improve personalization, forecasting, and customer growth in user-facing applications. Optimizing quality of models using frameworks like TensorFlow, PyTorch, or Scikit-learn.Advancing early-stage agentic AI initiatives, designing autonomous and adaptive decision-making systems for enterprise applications.

Education

• University of Pennsylvania

  Master of Science - MS, Computer Science

• UC Santa Barbara

  Bachelor of Science - BS, Statistics and Data Science

  2019 — 2023