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Agentic AI product leadership
I define how AI agents support real workflows — including RAG retrieval, multi-agent orchestration, Socratic learning, recommendations, evaluation gates, and guardrails.
AI Product Builder · 0→1 Product Manager
I turn ambiguous AI ideas into products people can use.
I build 0→1 AI products from ambiguity to prototype, pilot, and launch — connecting business goals, AI capabilities, engineering execution, and human-centered UX.
9+
Enterprise accounts supported through AI platform strategy and executive-ready product storytelling.
50+
User stories shaped for AI learning paths, gap assessment, practice, and progress experiences.
11
AI agent ecosystem defined for workforce readiness, mentoring, matching, and simulation.
100+
Stories and acceptance criteria managed across insurance platform modernization.
What I Do
AI product strategy with builder energy.
I help teams turn early AI ideas into clear, usable, and buildable products. My strength is creating product direction where the path is still unclear — defining the problem, shaping the MVP, mapping the journey, aligning stakeholders, and translating AI capabilities into engineering-ready requirements.
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0→1 product framing
I turn ambiguous opportunity spaces into product hypotheses, MVP scope, user journeys, feature concepts, and measurable success criteria.
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UX & information architecture
I structure complex enterprise products so users can understand, trust, and act on AI-powered recommendations with confidence.
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Product execution
I translate strategy into epics, user stories, acceptance criteria, prototypes, UAT plans, release readiness, and post-launch improvements.
Selected Wins
From unclear ideas to usable AI products.
A few examples that show how I think, how I build product direction, and how I connect AI capability with business value and user trust.
BlueVerse AI
Led product strategy and roadmap for a modular agentic AI platform across 9 enterprise accounts, defining customer needs, platform scope, AI use cases, MVP direction, and revenue-aligned priorities.
9 enterprise accounts
RAG-enabled experiences
Executive AI storytelling
NVIDIA TESA
Defined 0→1 product scope for an AI learning copilot with no prior blueprint, shaping the MVP across personalized learning paths, adaptive gap assessment, guided practice, simulations, and progress tracking for approximately 5,000 employees.
~5,000 users
RAG pipelines
Model evaluation gates
TESA Workforce Navigator
Built the 0→1 product vision and platform structure for an AI-powered apprenticeship operating system serving Pre-Apprentices, Apprentices, Mentors, and Program Leaders.
11-agent ecosystem
4 personas
90-day POC roadmap
L’Oréal AI Marketing Suite
Established 0→1 product framing for an AI Marketing Opportunity Suite spanning Integrated Media Intelligence and Brand-Safe Promotions Lab, converting ambiguous stakeholder pain points into scoped product opportunities.
Brand-safe guardrails
Rapid prototypes
AI media intelligence
TIH Broker Portal & Golden Gate
Owned product strategy and delivery across broker self-service and SAP ERP-connected AP/AR invoicing workflows integrated with Workday and ServiceNow.
100+ user stories
SAP ERP integration
UAT planning
How I Work
Clarity, structure, and momentum.
I work best where the AI possibilities are exciting but messy, the product direction is still forming, and the team needs someone who can connect strategy to execution without losing the user.
01
Clarify the opportunity
Ground the business problem, user pain points, stakeholder goals, and success metrics.
02
Turn ambiguity into structure
Define the MVP, user journeys, AI agent roles, workflows, requirements, and experience logic.
03
Partner with engineering
Translate AI behavior, RAG logic, data needs, and UX expectations into testable requirements.
04
Prototype and de-risk
Use Figma Make, v0, Lovable, Cursor, Claude, ChatGPT, and Google AI Studio to make ideas tangible.
05
Measure, refine, and scale
Use product signals, UAT feedback, adoption insights, and stakeholder input to improve the next release.
Experience
Where I’ve done this.
My work spans AI platforms, enterprise SaaS, insurance, healthcare, procurement, hospitality, marketing intelligence, and design systems.
AI Product Manager / 0→1 AI Product Builder
Led product thinking for BlueVerse AI, NVIDIA TESA, TESA Workforce Navigator, L’Oréal AI concepts, and TIH platforms.
Product, IA, UX, and platform leadership
Owned product direction, roadmap structure, IA, adoption strategy, and enterprise platform workflows across Salesforce, banking, hospitality, and AI marketplace work.
Enterprise systems and AI experiences
Built product patterns, design systems, analytics experiences, supply chain workflows, and clinical AI interfaces across Fortune 500 environments.
What I Bring
A concise view of my strengths.
Instead of a long keyword dump, here is the practical version of what I bring to a team.
AI product strategy
- Agentic AI systems
- RAG-powered copilots
- LLM evaluation thinking
- Responsible AI guardrails
0→1 product building
- Opportunity framing
- MVP definition
- Product hypotheses
- Pilot roadmap creation
UX product architecture
- Journey mapping
- Conversational UX
- Information architecture
- Enterprise design systems
Delivery leadership
- Epics and user stories
- Acceptance criteria
- UAT and release readiness
- Stakeholder alignment
Let’s Connect
I bring AI product strategy, 0→1 product building, enterprise UX, and delivery leadership into one role.
If your team needs someone who can turn unclear AI opportunities into structured product direction, buildable MVPs, stakeholder confidence, and real business impact, I’d welcome the conversation.