Work Experience

Senior Research Engineer@ Google DeepMind

Nov 2025 – Present
  • Adversarial robustness in post-training. Breaking stuff so you can't.

Senior Software Engineer @ Google Search

Jul 2022 – Nov 2025
  • Pretrained and fine-tuned large language models powering the "AI Overviews" feature in core search queries.
  • Developed a highly optimized, regulation-compliant petabyte-scale search data store feeding deep ranking models.
  • Built end-to-end model training, data generation, and automatic evaluation pipelines, shrinking model refresh cycles from 6-12 months to monthly.

Engineer @ Lam Research

Jan 2020 – Jun 2022
  • Founded and led development of predictive patterning software, used for research and productionization. Built on a physics-based, first principles model, reducing EUV lithography printing simulation times from 6+ hours to seconds. Published this work in a relevant journal for the field (SPIE).
  • Founded and led development of analysis software for lithographic patterning, competitive with proprietary, industry-standard tools.

Education

Ph.D. in Chemistry

2014 – 2019
Massachusetts Institute of Technology

Semiconductor and magnetic nanocrystal research in the Bawendi Group (advisor Moungi Bawendi awarded the 2023 Nobel Prize in Chemistry).

B.S. in Chemistry & Mathematics

2010 – 2014
University of Arizona

Skills & Clearances

Languages

Python R C++ R SQL Bash

* R indicates formal Google "Readability" credential.

Frameworks & Systems

JAX Flax PyTorch LibTorch TensorFlow Apache Beam Borg