Background

BA Applied Mathematics and Computer Science

Relevant coursework: Data Structures & Algorithms, AI, Real Analysis, Abstract Algebra

Software Engineering Intern · Vision Products Group

Built Python and C++ pipelines to parse crash logs, classify failure modes, and dispatch targeted repair agents across device fleets, with VM-based test infrastructure to validate proposed fixes in isolation before deployment.

Strategic Product Management Intern

Built NumPy/Pandas pipelines to diagnose model failure areas across client cohorts, supporting $30M/quarter in model support and lifting performance up to 22% for a key client through targeted dataset improvements.

Data Analytics Intern

Optimized SQL algorithms for large-volume freight shipping cost estimation (~$400K in projected annual savings) and automated ingestion of 10M+ rows into Snowflake.

Undergraduate Researcher — Human Behavior Simulation (advised by Prof. Yehuda Kalay)

Building a discrete-event simulation of occupant evacuation in high-rise residential buildings, applying reinforcement learning to model how individual residents make egress decisions under fire emergency conditions.

Undergraduate Researcher

Building evaluation infrastructure for a mobile cybersecurity agent benchmark — Docker Compose stacks (API, PostgreSQL, Redis), emulator/agent/backend networking, and Python probe suites that verify vulnerability presence across token leakage, credential exposure, and API access control.