CS @ Dartmouth College, graduating June 2027. Currently studying abroad at the Aquincum Institute of Technology in Budapest.
I work at the intersection of AI, cybersecurity, and software engineering. Most of my recent work involves empirical research on ML models — evaluating reasoning performance, measuring bias, and trying to understand how these systems actually behave in practice.
LLM Emotional Framing Study — Evaluated how emotional framing affects LLM reasoning using McNemar/Cochran tests across MMLU and GPQA benchmarks. (Python, PyTorch)
Gender Bias in AI Image Generation — Measured gender bias in generative image models using chi-square and proportion tests. (Python)
Tiny Search Engine (private — available upon request) — A search engine in C with a crawler, indexer, and query engine. (C)
AI vs. Real Music Classifier (in progress) — Deep learning classifier to distinguish AI-generated music from real recordings. (Python, PyTorch)
Languages: Python, C, C++, Java, R, Swift
ML/AI: PyTorch, deep learning, statistical analysis, LLM evaluation
Teaching Assistant — Dartmouth CS50: Software Design & Implementation
Corporate Analytics Intern — Intermedia Cloud Communications
Technical Intern — PredictiveHR
Currently looking for SWE and cybersecurity internship for Summer 2026.