Choosing the right model
AI changes quickly. The challenge is selecting the right model, architecture, and level of intelligence for the actual job.
AI integration · APIs · Full-stack products
I combine product strategy, AI, APIs, frontend and backend development to move from an uncertain problem to a practical platform—with particular care for career development, disability inclusion, and underserved communities.
Meet Andrew
A short video will introduce my approach, then show how strategy, AI, APIs, and full-stack development came together in a working platform.
Introduction video coming soon
The problem
Founders should be able to choose and own the right technology without becoming overwhelmed, locked into an inflexible cloud ecosystem, or dependent on a growing stack of third-party tools.
AI changes quickly. The challenge is selecting the right model, architecture, and level of intelligence for the actual job.
A durable product needs databases and data models that support real workflows, reporting, security, and future growth.
Founders need a practical deployment path they can understand and control—not a platform that forces every decision into its cloud.
AI and AI agents can replace or consolidate some third-party services, lowering cost and keeping more capability inside the product.
The human shift
Technology is useful when it changes the quality of the conversation and the clarity of the next decision—not when it simply adds another screen.
Participants recognize that their preferences, strengths, barriers, and ambitions belong in the career decision—not outside it.
Case managers and participants use better vocational signals, labor-market evidence, and shared insight to make informed decisions.
Every assessment and service connects to a goal, resource, referral, learning experience, or measurable career action.
What I do
I serve organizations and founders across sectors, with a particular commitment to solutions that expand access and agency for people too often left out of conventional systems.
Design tools around the whole person—their strengths, goals, circumstances, and voice.
Serve everyone while intentionally reducing barriers for underserved individuals and people with disabilities.
Connect interests, work values, skills, readiness, and labor-market evidence to practical next steps.
Turn a validated need into integrated workflows, useful data, and a product people can actually use.
Technology delivery
From a validated need to accessible interfaces, secure data, multi-tenant architecture, API integrations, and responsible AI.
Clear participant, case-manager, employer, and administrator experiences built for real workflows.
Structured client records, services, resources, progress, goals, notes, reporting, and integrations.
Separate organization workspaces, role-based access, configurable programs, and protected tenant data.
Guided exploration, summaries, recommendations, and workflow support with people in control.
Privacy, permissions, accessibility, auditability, and responsible data use considered from the start.
Discovery, validation, requirements, architecture, roadmap, vendor evaluation, and phased delivery.
A practical path
Reduce uncertainty first, then choose configuration, integration, partnership, or a custom build based on evidence.
Listen to participants and case managers. Map services, workflows, data, friction, and desired outcomes.
Review existing systems and test the unmet need before recommending custom development.
Define the experience, roles, data model, accessibility, integrations, security, and success measures.
Deliver a practical full-stack, multi-tenant platform in focused releases when building is justified.
Learn from adoption and outcomes, then strengthen workflows, intelligence, and reporting over time.

Capability in practice
WorkReady360 is one example of my ability to combine domain expertise, O*NET APIs, assessments, AI support, role-based workflows, and full-stack delivery. These views show the kind of capability I can adapt to a different client problem.
View WorkReady360
A client view that combines progress, assessment results, career exploration, and ongoing guidance in one workflow.

Occupation data and a career-readiness assessment translated into clear gaps, targets, and next-step decisions.
The next action
A discovery conversation can clarify the client environment, the behavior change that matters, what technology already exists, and the right first investment.