EXPERIENCE
Professional Work
Current Role
AI Intern
Texas Permanent School Fund · Austin, TX · Feb – Present
NLP Systems
Graph API
Email Analytics
Hierarchical Classification
- Built a hierarchical ML system to automatically classify and organize enterprise emails across 500+ folders with 91% top-1 and 98% top-3 accuracy.
- Developed end-to-end email ingestion and training pipelines using the Microsoft Graph API, JSON dataset generation, and real-time model inference workflows.
- Engineered beam-search-based prediction logic with CI-driven testing pipelines in Azure DevOps to improve classification robustness and deployment reliability.
PythonPandasScikit-learnMachine LearningML Pipelines
Absolute Return Strategies Intern
Aug – Dec 2025Texas Permanent School Fund · Austin, TX
- Designed and implemented a Streamlit application using Pandas, NumPy, and Matplotlib for time-series alignment, statistical analysis, and interactive visualization of asset performance across hedge fund strategies.
- Strengthened dataset reliability by engineering anomaly detection and manual editing features, enabling analysts to identify outliers and maintain audit-ready data quality.
- Unified fragmented hedge fund data from multiple sources into a single performance-tracking platform with interactive dashboards for cross-strategy comparison.
PythonPandasNumPyMatplotlibStreamlit
Public Equity Investment Analyst Intern
Jun – Aug 2025Texas Permanent School Fund · Austin, TX
- Built an automated market update report consolidating insights across multiple asset classes, enhanced with an LLM to generate summaries explaining market movements.
- Enabled faster macroeconomic research by building a custom Python API for the IMF World Economic Outlook database with automated extraction, filtering, and flexible dataset manipulation.
- Improved team-wide efficiency by developing an internal Python library standardizing reporting, dashboard creation, and data visualization workflows across research projects.
PythonPandasQuartoDashGemini LLM