Machine Learning Engineer at Apple · 📍 San Francisco, CA
Building the foundational ML infrastructure behind Apple Intelligence
🌐 Portfolio ·
LinkedIn ·
tamm on PyPI
- Core contributor to Apple Foundation Models — the key framework behind Apple Intelligence experiences across Siri, Messages, Photos, and Accessibility.
- 📦 Some of my work is open-sourced via
tamm, Apple's PyTorch library that lets App Store developers build AI features in their own apps. - 🚀 Building high-performance inference serving for multi-modal foundation models (1T+ parameters) and the publishing pipelines that ship on-device and server models to millions of users.
- 🎓 MS in Computer Science, University of Wisconsin–Madison
- 🏛️ B.E. Computer Science, BITS Pilani
Applied AI Research & Engineering positions — reach out via LinkedIn.
See my portfolio for the full story.