Building technologies to augment human intelligence.

applied AI engineer, cognitive science researcher, & human‑centered technologist.

I'm a product engineer and AI/ML scientist focused on bridging the gap between machine and human intelligence. Currently based in LA at the University of Southern California as a Trustee Scholar, where I'm pursuing a bachelor’s in Cognitive Science and a master’s in Computer Science.

As a researcher with the USC Information Sciences Institute, I’m interested in exploring the intersection of cognitive science and artificial intelligence. I study LLMs' abstract reasoning capabilities through the lens of graph theory, linguistics, and cognitive psychology.

I also post articles on a Substack publication, The Perceptron, where I write on cognition, computation, perception, and intelligence.

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Tandem

May 2025 – Present

Applied AI Engineer Intern

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LavaLab

May 2025 – Present

President (ex. Director of Development)

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Code the Change

Aug. 2024 – Present

Tech Lead

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Nora Music

Jan. 2024 – Aug. 2024

Head of Product & Engineering

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Class Companion

Aug. 2023 – Dec. 2023

Founding Machine Learning Engineer

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Expo

Jan. 2022 – Aug. 2022

Developer Relations Intern

I serve as President of LavaLab, USC's premier product incubator, where I shape the next generation of founders and entrepreneurship at USC as a whole. I've previously served as a Tech Lead for Code the Change, overseeing a team of student developers building a mobile app for a local non-profit.

Currently, I'm an Applied AI Engineer Intern at Tandem, a startup in the healthcare space working to accelerate access to medicine. Previously, I worked with Nora Music as Head of Product & Engineering, where I led a team building an innovative music discovery platform. I also worked with Class Companion, transforming educational content delivery through engineering AI systems for automated assignment generation.

I'm particularly fascinated by human-computer interaction and AI for social impact. Among others, I've developed AI solutions for medical coding and language learning, winning multiple hackathon awards for novel applications of machine learning and LLMs.