AI strategy & evaluation
I assess workflows, compare AI tools and models, and weigh performance, reliability, cost, and data-handling requirements. I translate those trade-offs into guidance for technology selection and implementation planning.
A practical approach to AI
Desirée ClarkAI Enablement & Transformation
Engineering understanding. Human adoption.
I help teams understand AI,
put it to work, and use it responsibly.
I connect business objectives with AI strategy, technology decisions, implementation, and organizational adoption. As an AI systems engineer and former Software Development Manager, I bring hands-on technical depth and experience leading software development and delivery. My approach combines stakeholder collaboration, practical training, clear documentation, and responsible AI operations.
01 / Expertise
From understanding to everyday use.
AI adoption & training
I help technical and nontechnical teams use AI through practical demonstrations, hands-on instruction, office hours, and reusable guides. The focus is helping people apply the tools in daily work and use them independently.
Workflow implementation & change
I work with stakeholders to define requirements, set priorities, and connect AI capabilities to business workflows. My engineering experience helps me bridge discussions between the people using a system and the people building it.
02 / Selected Initiatives
AI strategy, delivery, and adoption.
C-4 Analytics
Enterprise AI Enablement Platform
Designed and developed a centralized AI enablement platform that brings together AI tools, resources, system maps, ownership information, and documentation to help employees discover, understand, and use AI capabilities.
Varia Global
AI Workflow Enablement & Training
Developed and implemented AI-powered workflows, then trained nontechnical staff through hands-on instruction, documentation, and operational guidance to support independent use and human oversight.
C-4 Analytics
AI Model Evaluation & Cost Analysis
Compared AI models across accuracy, reliability, performance, and cost to inform technology selection, clarify trade-offs, and forecast operating expenses.
03 / Responsible AI
Responsible AI
in practice.
I consider reliability, data handling, human review, and clear ownership alongside functionality and cost. My cybersecurity background informs how I evaluate AI tools, explain their limitations, and support responsible use. Documentation and review controls are part of implementation, not an afterthought.
04 / Background
Technical depth. A broader perspective.
AI & Technical Expertise
- Applied AI
- Agent workflows, model benchmarking, cost analysis, human-in-the-loop controls, structured-output validation.
- AI platforms & automation
- Claude, ChatGPT, Gemini, Vertex AI, Claude Code, Codex, n8n, Zapier.
- Software & cloud
- Python, JavaScript, Node.js, React, Git, Docker, Google Cloud Run, Secret Manager.
- Data & integration
- PostgreSQL, BigQuery, REST APIs, OAuth, Google Apps Script, Data Studio, Supermetrics.
Career Background
AI Business Systems Engineer
C-4 Analytics Jul 2026–Present
AI Automation Engineer
Varia Global Mar 2026–Jul 2026
Web Developer
Purdue University Apr 2017–Jul 2026
Three positions, culminating in Web Developer (Jul 2021–Jul 2026).
Software Development Manager
UniFirst Mar 2014–Mar 2017
Earlier experience
- Programmer Analyst — Palm Coast Data May 2011–Nov 2012
- FC3 Tomahawk Missile Technician — United States Navy May 2006–Mar 2010
Education & Credentials
M.S., Cybersecurity Management
Purdue University Global · 2023
Summa Cum Laude
B.A., Classical Studies
Purdue University · 2021
Magna Cum Laude
A.S., Computer Programming & Analysis
Daytona State College · 2012
Magna Cum Laude
Awards
Purdue College of Engineering Bravo Staff Award (2023); Navy Achievement Medal (2007).
05 / Contact
Get in Touch
For professional inquiries, email me or connect with me on LinkedIn.