SFH

Resumé

Here’s what I’ve accomplished.

Education

University of Illinois Urbana-Champaign

Master of Computer Science
Expected Fall 2028

Washington & Lee University

Bachelor of Arts, Major in Economics, Major in Sociology, Minor in Mathematics
Graduated Dec 2024

GPA: 3.8 (overall), 3.9 (Economics), 3.8 (Sociology); President’s List (2022-23, 2023-24)

Recipient of John M. Gunn Scholarship for outstanding achievement, leadership, and character; member of Omicron Delta Epsilon honor society

Professional Development

UC San Diego Division of Extended Studies

Computer Science Coursework, Mar 2026 - Jun 2026

Discrete Mathematics; Data Structures & Algorithms

Relevant Experience

Federal Reserve Board of Governors

Data Engineer, Aug 2026 - Present
Senior Research Assistant, Feb 2026 - Aug 2026
Research Assistant, Jan 2025 - Feb 2026

Data engineering work

  • Architect and maintain three production Shiny dashboards supporting real-time financial conditions monitoring and policy analysis
  • Engineered a data caching system serving about 10 productions
  • Ingest and process financial market data from Bloomberg Terminal, FRED API, WRDS API, FAME, and other sources to support macro-financial research
  • Build and manage data structures within production PostgreSQL databases containing more than 500 million rows, supporting table design, access permissions, validation, and output storage
  • Piloted a server migration as an early adopter, helping to clear technical issues and create documentation to minimize downtime across the Division
  • Serve as technical liaison with IT department for production troubleshooting, infrastructure maintenance and requests, security compliance coordination, and contingency testing

Research work

  • Developing a multi-agent AI system to perform textual analysis of FOMC communications; the system processes 1,316 speeches using Python, PostgreSQL, and specialized agents for quote extraction, topic analysis, and automated report generation
  • Maintain and revise the Stock Return Decomposition model in R and Stata; adapt data for related projects and analysis

Department of Economics, Washington & Lee University

Microeconomics Teaching Assistant, Sep 2024 - Dec 2024

  • Held office hours to assist 35 students with course concepts for Intermediate Microeconomics using Varian’s textbook

Department of Economics, Washington & Lee University (Michael Anderson, PhD)

Research Assistant, Jun 2023 - Dec 2024

  • Awarded University grant funding to conduct summer research; funding extended through academic year
  • Created a repository of over 50 peer-reviewed journal articles to inform and inspire current and future work
  • Used Stata to wrangle, clean, and merge datasets with over 100 variables and as many as 1.2 million observations
  • Used a PPML gravity model to estimate the connection between interpersonal violence and international trade
  • Presented findings to W&L’s Summer Research Scholars Session in Oct 2023; attending MWIEG conference in Oct 2024

Department of Economics, Washington & Lee University

Econometrics Teaching Assistant, Sep 2022 - Dec 2024

  • Assisted 30 students per semester with economics research, data wrangling, and course concepts
  • Developed 1 new assignment and 1 new Stata lab, and revised 2 existing assignments based on student feedback
  • Led 8 lab sessions per term, providing both group instruction and personal guidance
  • Hired and trained three additional TAs to continue to support the program after my graduation

Extracurricular Activities

White Book Review Committee, Washington & Lee University

Committee Member, Sep 2023 - Apr 2024

  • Invited and appointed by Executive Committee (student government) to this 9-member committee
  • Survey and observe W&L community’s perception of the Honor System to inform policy suggestions

Mock Convention, Washington & Lee University

Assistant Pennsylvania State Chair, Sep 2023 - Feb 2024

  • Collect insights from Pennsylvania politicians and experts to assist in researching state political climate
  • Work toward predicting the outcome of the 2024 Republican primary and organizing the 2024 Mock Con
  • Mock Con is the nation’s most accurate mock nominating convention with a 74% accuracy rate since 1908

Additional Work Experience

Copy Services, Washington & Lee University

Senior Administrative Coordinator, Jan 2022 - Dec 2024

  • Design signage and systems to streamline printer repair currently in use at over 50 locations on campus
  • Process invoices and run reports for completed jobs totaling over $2,000 per day

Skills & Interests

Data Engineering & Distributed Systems

Python, R (including Shiny), SQL, Bash/zsh, Git/GitLab, CI/CD pipelines, Slurm, Celery

Databases & Data Management

PostgreSQL, DuckDB, SQLite, MySQL, FAME

Data Analysis & Statistical Computing

R, Stata, Python, SAS

Operating Systems

Linux (Ubuntu, CentOS, AlmaLinux, Red Hat Enterprise Linux), Windows, macOS

Additional Programming Languages

JavaScript, PHP, C, Java, LaTeX

Web Development

Built samuelhaines.com and demo.myleos.org

Interests

Hiking, road cycling, kayaking, folk music, transportation and public transit

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