Experience

• Fall 2017

  Caltech

  Began undergraduate studies

• Summer 2019

  Meta

  Software Engineering Intern — developed frameworks to boost reliability of notifications ranking and auctions models

• Summer 2020

  Caltech

  Research Fellow — studied learning theoretic guarantees for graph-based semi-supervised learning and active learning

• Summer 2021

  Meta

  Machine Learning Engineering Intern — researched quantization techniques (PTQ and QAT methods) for natural language understanding at the edge

• Fall 2021

  Stanford

  Began PhD

• Summer 2025

  Citadel (Hedge Fund)

  Quantitative Researcher Intern — equities alpha research

• Fall 2025

  Amazon (Annapurna Labs)

  Applied Scientist Intern — worked on numerics and training accuracy evaluations for low-precision transformer post-training and inference

• Spring 2026

  Apple

  AI/ML Intern — developed machine learning models and data-driven optimization methods for RF design