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PDFExpected Dec 2027 In Progress (Spring 2026)July 2025June 2025 Jan – June 2025Aug 2024 – Present
Curriculum
Vitae
PDF01Education
B.S. in Applied Data Science
The Pennsylvania State University
02Technical Skills
LanguagesPython (Pandas, NumPy, Matplotlib, Seaborn), R, SQL
ToolsGit, Jupyter, Scikit-learn, PyTorch, TensorFlow, APIs, Hugging Face, VS Code
03Research & Projects
Mechanistic Interpretability in LLMs
Python · PyTorch
- Investigating whether geometric properties of SAE decoder vectors can predict feature steerability in LLMs.
- Designed end-to-end evaluation pipeline over 100 SAE features × 75 prompts × 12 steering magnitudes on Gemma-2-2b-IT.
- Optimized batched inference to reduce model calls by 94%.
Stock Price Forecasting Using ML
Python · Scikit-learn
Multi-Asset Financial Portfolio Risk Analysis
Python
04Experience
Research Assistant
Humanitarian Engineering and Social Entrepreneurship
Team Member, Commons Desk Operations
Penn State