a young woman using blended learning for TVET training

Shimmy

2016 - Present

New York, Bangladesh, Honduras, Indonesia

I founded Shimmy to help industrial workers navigating automation and climate disruption.

Our AI-powered, mobile-first tools help supply chain workers—especially women—upskill and reskill for more technical roles as automation changes what it means to work in a factory. We’ve trained over 12,000 workers across Bangladesh, Honduras, and beyond, often where traditional training systems fall short.

Shimmy’s model—blended, bite-sized, digitally accessible—has proven 6X faster than conventional TVET methods and helped factories boost efficiency by over 20% on average. We’ve partnered with apparel brands, development agencies, and TVET institutions to improve training outcomes and labor resilience at scale.

Key initiatives:

  • Forecasting future skill needs through machine procurement data

  • Building climate-responsive and gender-equitable training systems

  • Equipping workers for transitions they didn’t choose

  • Using novel UX and instructional design to reach and teach workers with no digital literacy

Shimmy’s work has been recognized by MIT Solve, IEEE, XPRIZE, Acumen, Microsoft, and the World Economic Forum.

  • A Shimmy Upskill Training Session

    A Shimmy Upskill Training Session in Gazipur, Bangladesh. This trainee had never used a tablet before.

  • Blended learning in TVET

    A blended learning model at work in a TVET center in Bangladesh.

  • Examples of Shimmy training modules

    Training modules for automated spinning equipment, the Kansai Special Machine, and value added product assembly.