Back to homeExpected December 2027 In Progress (Spring 2026)July 2025June 2025 Jan 2025 – June 2025Aug 2024 – Present
Curriculum Vitae
Download PDFEducation
B.S. in Applied Data Science
The Pennsylvania State University
Technical Skills
Languages: Python (Pandas, NumPy, Matplotlib, Seaborn), R, SQL
Tools & Frameworks: Git, Jupyter Notebook, Scikit-learn, PyTorch, TensorFlow, APIs, Hugging Face, VS Code
Research & Projects
Research on 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
Experience
Research Assistant
Humanitarian Engineering and Social Entrepreneurship
Team Member, Commons Desk Operations
Penn State