About
Loren Cossette
Ph.D. (c) · AI Automation Architect
As the sole AI automation engineer for Multnomah County, I own the full lifecycle — problem discovery, stakeholder alignment, architecture, code, deployment, and change management.
I build production agentic systems, RAG pipelines, and serverless infrastructure — while also standing up governance frameworks, training executives at UT Austin and Johns Hopkins, and publishing peer-reviewed AI research.
Deep expertise in NLP, deep learning, prompt engineering, and end-to-end ML model evaluation. PhD candidate. Prosci-certified. SHRM-SCP. 20-year military career culminating at E-9 (top 1%).
$ cat philosophy.md
# I believe the best AI engineers don't just write code —
# they understand the business problem deeply enough
# to know which problems are worth solving with AI,
# and which ones aren't.
# Strategy without code is a slide deck.
# Code without strategy is a science project.
# I do both.
Education
Academic foundation
Ph.D. — Leadership & Program Evaluation
UIW
Post Graduate Certificate — AI and Machine Learning
University of Texas at Austin
Post Graduate Certificate — AI/ML, LLM & GenAI
Cornell University
Post Graduate Certificate — Strategic Artificial Intelligence
Houston Christian University
M.S. — Organizational Development
University of the Incarnate Word
M.A. — Psychology
Northcentral University
Certifications
Publications
Peer-reviewed research
Bias and Reliability in AI Safety Assessment: Multi-Facet Rasch Analysis of Human Moderators
AIME
AI Integration in Academia: Investigating the Impact on Faculty Organizational Belongingness
APA
Self-Reflection and Socialization in Early Career Research: A LACOID-Based Text Mining Approach
AERA
Assessing Changes in Adult Online Learners’ Motivation: A Grounded Bibliometric Analysis
Book Chapter
Exploratory Cluster Analysis of Technology Use During COVID-19 and Mental Health
J. Adolescent Health