Find the friction
Observe users, their work, and where uncertainty or repeated effort slows progress.
AI & INNOVATION / PRODUCT LAB
Curiosity,
built into practice.
I explore how AI can simplify real work—then design the guidance, guardrails, and experiences that make it useful to people.
CAREERCTRL AI EXPERIENCE CONCEPT
CareerCTRL AI
A clearer path from job search to application
PROFILE → JOBS → ATS REVIEW03 OF 07
REVIEW CHECKPOINT
Your résumé. Your decision.
Review suggested improvements before moving to your application. A prepared application is never presented as submitted.
MY APPROACH
A thoughtful, collaborative process that puts people in control.
- 01
UNDERSTAND
Clarify the audience, business goals, challenges, and existing workflows.
- 02
EXPLORE
Identify opportunities, collaborate with stakeholders, and design practical solutions.
- 03
TEST
Build prototypes, gather feedback, refine, and validate with users.
- 04
PUT PEOPLE IN CONTROL
Support implementation, encourage adoption, and evaluate results.
SELECTED PROJECTS / 01—03
Three ways I put
AI to work.
Product experience, practical adoption, and learning development—different problems, grounded in the same human-centered approach.
01 / PRODUCT CONCEPT
EXPLORE CASE STUDY
INDEPENDENT PROJECT · 2026
CareerCTRL AI
Designing a more navigable job-application journey with seven visible stages, plain-language choices, résumé approval, and honest submission statuses. Chat-based beta and visual prototype remain separate.
Read the product case study ↗02 / PROFESSIONAL EXPERIENCE
EXPLORE CASE STUDY
DEFENSE HEALTH AGENCY · 2025–26
AI adoption in Federal healthcare learning
Explored free and low-cost content-production tools and helped a four-person learning team adopt practical approaches while retaining SME review and accessibility practices.
Explore the adoption case study ↗03 / ORIGINAL LEARNING DEMO
EXPLORE CASE STUDY
INDEPENDENT DEMONSTRATION
Responsible AI for learning teams
A fictional, interactive microlearning experience with decisions, prompt-writing practice, formative feedback, and human-in-the-loop review.
Explore the learning example ↗REAL-WORLD PRACTICE / NOT HYPE
Make the work
more useful.
At the Defense Health Agency, I evaluated affordable AI-assisted production methods myself and coached colleagues through everyday uses. These figures are retrospective estimates, not measured or audited program outcomes.
See exactly what I contributed ↗01
Explore
Identify slow or repetitive production tasks.
02
Evaluate
Test affordable AI-assisted tools before recommending use.
03
Coach
Demonstrate practical techniques to teammates.
04
Verify
Preserve SME review, accuracy, and accessibility.
REPORTED CONTEXT / ESTIMATES ONLY
~50%MY PRODUCTION TIME
Self-reported estimated improvement in my own learning-content workflow.
~25%COLLEAGUE EFFICIENCY
Estimated improvement shared by colleagues after informal coaching.
4 peopleTEAM CONTEXT
A small instructional design team—not an agency-wide AI implementation or formally procured product.
HOW I THINK ABOUT AI PRODUCTS
Use judgment at
every stage.
Make a clear choice
Map tasks, prototype interactions, and make consequences visible.
Keep humans involved
Review source material, privacy boundaries, accessibility, and unsupported claims.
Learn from use
Test understandable decisions before drawing conclusions about results.