David Montague
Associate Vice Chancellor For Academic Affairs - Student Success
Little Rock, Arkansas, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Montague is an accomplished higher-education leader and tenured professor who directs student success and academic affairs at the University of Arkansas at Little Rock, combining operational oversight with hands-on mentoring of faculty and students. He has a rare blend of federal investigative experience—having led investigations for the JFK Assassination Records Review Board—and academic leadership, including scaling online offerings from 10 to 71 programs and steering a critical LMS migration during the COVID pivot. A published author and frequent speaker with nearly 275 presentations and international research exposure, he brings practical program-building skills in online education, syllabus and course-evaluation centralization, and ERP implementation (Workday Student). His earlier career in federal law enforcement and financial investigations informs his community-engaged work on prisoner reentry, which produced measurable reductions in recidivism. Unexpectedly tech-savvy for an academic administrator, he contributes to prominent open-source Python projects (including FastAPI and Pydantic), focusing on performance, serialization, and tooling improvements. He pairs scholarship and service with a demonstrable record of translating complex policy, technical, and operational challenges into scalable institutional improvements.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA, Bachelor of Arts - BA at Morehouse CollegeMaster of Arts - MA, Master of Arts - MA at The George Washington UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Howard University
Github Skills (29)
zone10
generic-types10
fastapi10
pytest10
data-validation10
python10
agent-framework10
api10
timezone10
pydantic10
testing9
json9
asyncio9
sqlalchemy9
typehinting9
Programming languages (12)
Github contributions (5)
pydantic/pydantic-ai
Nov 2024 - Apr 2025
Agent Framework / shim to use Pydantic with LLMs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:309 reviews, 139 PRs, 438 pushes in 4 months
Contributions summary:David contributed significantly to the project by adding timezone support to the models. This involved modifying test files to ensure accurate timestamp validation and parsing within the agent framework. Further contributions included replacing SVG diagrams with Mermaid diagrams, improving the readability of documentation by changing all occurrences of "behaviour" to "behavior", and renaming "tool_id" to "tool_call_id" for better code clarity, demonstrating a commitment to code quality. Other commits focused on improved error handling, which enhanced the stability of the codebase.
agent-frameworkllmspydanticpython
fastapiutils/fastapi-utils
Jan 2020 - Mar 2020
Reusable utilities for FastAPI
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 releases, 13 commits, 45 PRs in 1 month
Contributions summary:David primarily contributed to the development and maintenance of the FastAPI utilities library. Their work included updating dependencies, adding documentation for core components like `FastAPISessionMaker` and improving the structure and clarity of the codebase. They fixed a bug related to the reordering of Class-Based View (CBV) routes and improved the timing middleware functionality. These changes reflect a focus on refining core functionalities and improving the user experience of the library.
apiredocpythonfastapireusable
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