Experience snapshot

Applied Materials

Chatbot & delay forecasting Product Intern, AI / ML.

Product Intern, AI / MLJun — Sep 2024 · Santa Clara, CA

Advanced AI/ML products from problem selection through deployment and measurement for site support and delay forecasting.

The context.

Problem space
Site support and production-delay forecasting required more reliable, measurable decision support.
Responsibility
Selected high-value problems and collaborated across the data-science process, product, and model delivery.
Outcome
Improved chatbot and delay-forecast accuracy while helping reduce quarterly expedite costs at million-dollar scale.

What I owned.

  1. Selected problem spaces where improved prediction and support could create operational value.

  2. Collaborated through the data-science process with model and product partners.

  3. Supported deployment and measurement of chatbot and delay-forecasting outcomes.

The evidence.

96%

chatbot accuracy

+30%

delay-forecast accuracy

Million-dollar-scale

quarterly expedite-cost reduction

Product capabilities.

  • 01Problem selection
  • 02Data-science process
  • 03Model and product collaboration
  • 04Deployment
  • 05Measurement

A note on confidentiality.

This experience involved internal and proprietary work. The overview focuses on my public-safe responsibilities, product decisions, and approved outcomes; confidential interfaces, implementation details, and company data are intentionally omitted.