Experience and education.

Software Engineering Intern

• Built Java and Spring Boot GraphQL APIs for customer-data workflows used across enterprise channels.
• Reduced troubleshooting time by 30% through API enhancements and JavaScript comparison views integrating name and employment data from multiple sources.

Executive Missions Aviator

• Flew on 50+ executive airlift missions across 30+ countries, all completed with zero safety-related incidents.
• Worked directly onboard with distinguished visitors including the Vice President aboard Air Force Two and the Secretary of State; managed passenger safety and logistics with flight crews, security teams, and White House staff.
• Handled in-flight meal and beverage service, baggage logistics, crew hotel bookings and ground transportation, visa applications, and crew and passenger subsistence billing.
• Served in the 89th Airlift Wing, whose executive airlift mission supported the Vice President, First Lady, Secretaries of State and Defense, and Chairman of the Joint Chiefs of Staff.
• Hold an active TS/SCI clearance.

I chose to pursue AI while serving, and the preparation, coordination, and zero-incident standard of executive airlift came with me.

HYDRA

Watershed forecasting research: reforecast generation and deep-learning post-processing for NOAA NextGen streamflow forecasts

• Built NextGen reforecast generation software and Google Cloud workflows to acquire, validate, and align weather, streamflow, and forecast data with traceable provenance.
• Designing forecast post-processing for 1–18 hour lead times, comparing LSTM, Transformer, and Mamba-style models on identical inputs and splits.
• Evaluating with leakage-aware temporal splits and hydrologic metrics (RMSE, NSE, KGE), reporting performance by site and lead time.
• Preserving initialization, lead, valid-time, version, and source metadata so every training example traces back to the forecast that produced it.
• Preparing a results manuscript for Water Resources Research; a software paper for Environmental Modelling & Software is planned.

Harmony

An automated decision system with bounded LLM autonomy

• Built the decision pipeline in Python, scikit-learn, SQLite, and React as an explicit state graph with declared action paths.
• Logged each step in a tamper-evident record so every decision can be reviewed.
• Confined LLM research and analysis to advisory nodes that can flag or veto but cannot execute.
• Required human approval for each consequential action.
• Designed an isolated AWS environment for reproducible CPU/GPU research experiments, with local tools to control runs and review results.

Workshop

Best Practices for AI and Agentic Workflows in Earth Science Research

AGU26 Annual Meeting · San Francisco · December 7–11, 2026

Role: Scientific workshop facilitator

Teaching earth and environmental scientists practical AI methods for their research workflows.

Abstract

HYDRA streamflow-forecasting abstract

AGU26 · Hydrology session H100 (machine learning in hydrology)

Abstract on the HYDRA streamflow-forecasting work. Acceptance and scheduling will be posted when confirmed.

Research details

Manuscript

HYDRA results manuscript

Water Resources Research (target journal)

Role: Author

Post-processing results for NextGen streamflow forecasts at 1–18 hour lead times. Analysis and writing are in progress; a link will be added when one exists.

Research details

Manuscript

NextGen reforecast generation software

Environmental Modelling & Software (target journal)

Role: Author

Software paper describing the reforecast generation and data tooling, planned alongside the code release.

Code on GitHub

M.S. Artificial Intelligence

• Current GPA: 4.0/4.0.
• Completed: AI Ethics, Machine Learning, Deep Learning, and Reinforcement Learning.
• Fall 2026: Advances in Deep Learning; Optimization; Natural Language Processing.

B.S. Computer Science

• Cum Laude (GPA 3.6/4.0).
• Senior Honors Thesis on Runoff Forecasting with Deep Learning.
• Data Science Certificate.