I’m a scientist with nine years of combined postdoctoral and industry experience in deep learning and mathematics.

I have four years of experience training, evaluating, and deploying deep learning models for industry applications: LLM pre-training and post-training, representation learning, supervised learning, and causal inference. I have three years of experience prototyping, developing, and evaluating AI agents, resulting in three external product launches.

I have published in top math research journals, received a Fields Institute postdoctoral fellowship, won best paper award at an internal Amazon conference, and won best thesis award for my PhD dissertation.

I have led teams of up to nine individual contributors, mentored graduate students and industry interns, and taught thousands of students as a course instructor.