I am a researcher & engineer
focused on
reasoning, interpretability,
and evaluation

My research focuses on natural language processing, machine learning interpretability, and evaluation methodologies, with work published at ACL, EMNLP, and NeurIPS. I see engineering as the art of solving constraints, research as the art of discovery, and life as the ultimate optimization problem.

6:22 PM · UTC

Experience

Amazon

Amazon

SDE Intern

Seattle, WA
Jun – Aug 2025

ML pipelines for intent classification, sentiment analysis, and routing prediction on customer transcripts. Integrated RAG and LLM-based task classification.

MLRAGLLMsAWS
Stanford NLP Group

Stanford NLP Group

Researcher

Stanford, CA
Jul 2024 – May 2025

Multi-trigger classification in mechanistic interpretability under Dr. Jan-Philipp Fränken. Achieved ~98% AUROC on single-classification accuracy.

InterpretabilityPyTorchResearch
Princeton PLI

Princeton PLI

Lead Author & Researcher

Princeton, NJ
Jun 2022 – May 2025

First-author EMNLP 2025 on LLM benchmarking, first-author ACL 2023 on symbolic math reasoning. Built evaluation protocols for symbolic reasoning datasets.

NLPEvaluationResearch
Wharton Analytics Fellows

Wharton Analytics Fellows

Senior Analyst

Philadelphia, PA
Sep 2023 – Present

Led LLM development for IKEA dashboard navigation. Modeled marketing spend for Zillow. Developed clustering algorithms for Fox viewer personas.

LLMsAnalyticsML
BOLD AI

BOLD AI

Founder & CEO

San Francisco, CA
Nov 2021 – Jan 2023

Led clinical testing for Transformer-based (F1 ~0.87) tool for detecting stutters in speech, working with 20+ SLPs and academics.

TransformersHealthcareML

Education

University of Pennsylvania

University of Pennsylvania

Jerome Fisher M&T Program

Philadelphia, PA
2023 – 2027

B.S.E. Computer Science (Engineering) & B.S. Economics, Finance (Wharton)

University of Pennsylvania

University of Pennsylvania

M.S.E. Computer Science

Philadelphia, PA
Expected 2027

Concurrent master's degree

Research

Projects