Professional Experience

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Google Research

Student Researcher, *September 2025 – *
Researching and creating the next large Graph Foundation Model with Bryan Perozzi and Michael Galkin.

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Microsoft Research US Headquarters

Research Intern, June 2025 – September 2025
Researched the capabilities of LLMs in processing graph information with Ryen White. Culminated in the paper “Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference”

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eBay

Applied Researcher, June 2022 – January 2023

  • Engineered LLMs to match queries with the most relevant landing pages for search engine optimization.
  • Developed a keyword extraction technique, combined it with GPT3, and subsequently fine-tuned the process.
  • Achieved a 30% increase in landing page click-through rates (CTR) within the first three months of implementation
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SKF Group, AI Center of Excellence

Data Scientist, August 2020 – May 2021

  • Created a neural network which predicts $n$-body problem solutions for classified company use.
  • Engineered generative models to predict molecular dynamics pathways, utilizing physical simulations.
  • Created new generative models to analyze stable \& transient protein folding conformations.
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Rafael Advanced Defense Systems

Algorithm Developer and Physicist, October 2017 – July 2020

  • Designed, customized, and implemented end-to-end machine learning pipelines, from ideation to production
  • Led research in event prediction, anomaly detection, and time series forecasting to aid machinery fault diagnosis
  • Designed an event-based evaluation metric that improved the company’s anomaly detection from 78% to 90%