# Sean Smith

> Senior Product Designer | AI-Enhanced Healthcare & Fintech | Founding Designer @ Computis | Driving 45% Faster Onboarding Through Human-Centered AI Experiences

Location: San Francisco, California, United States
Profile: https://flows.cv/seansmith

I design AI-enhanced products that augment human capability rather than replace it—turning complex systems into intuitive experiences that people trust.

As a founding product designer, I've built products from 0→1 in highly regulated industries where AI must earn user confidence. At Computis, I designed an AI-powered crypto tax engine that reduced onboarding time by 45% and increased conversion by 32% by making machine learning outputs transparent and actionable.

WHAT I BRING TO AI PRODUCT TEAMS:

• AI Product Design Expertise: Designing confidence-building patterns for ML-powered features, from uncertainty visualization to progressive disclosure of AI capabilities

• Cross-Functional Leadership: Bridging design, engineering, and data science—I speak fluent "ML model" and translate technical constraints into user value

• Regulated Industry Experience: Healthcare (EHR/HMS) and fintech background means I design for compliance, accessibility, and high-stakes decision-making from day one

• Measurable Impact: 85% reduction in engineering dependency through systematic design systems, 32% conversion lift through trust-first AI UX patterns

MY AI DESIGN PHILOSOPHY:

The best AI products don't hide their intelligence—they make it legible. I specialize in:
→ Graduated confidence systems that communicate AI certainty levels
→ Human-in-the-loop workflows that enhance rather than automate
→ Ethical AI patterns that maintain user agency and transparency

TECHNICAL TOOLKIT:

Design: Figma, design systems, accessibility-first workflows
Development: React, TypeScript (I prototype production-ready code)
AI/ML Collaboration: Comfortable discussing model performance, training data, and algorithmic bias with data scientists

Currently exploring: How AI can reduce cognitive load in complex workflows without sacrificing user control.

Let's connect if you're building AI products that respect human expertise.

## Work Experience
### Senior Product Designer @ Custom Data Processing Inc. (CDP)
Jan 2023 – Present
* Designed AI-driven search and data retrieval interfaces, improving user efficiency by 30% in enterprise knowledge management. 
* Led user research and usability testing, identifying key pain points in knowledge discovery and AI-assisted workflows. 
* Developed intelligent data visualizations and dashboards, making business insights more accessible and actionable. 
* Created and maintained a scalable design system, ensuring consistency across AI-powered SaaS applications. 
* Created and maintained a scalable design system, ensuring UX consistency across AI-driven SaaS applications. 
* Partnered with engineering and AI teams to translate machine learning models into intuitive, user-friendly search and automation experiences.
* Led a team of 4 designers in revamping the company’s flagship product, resulting in a 30% increase in user satisfaction scores.

### Founding Product Designer @ Computis
Jan 2018 – Jan 2023
Designed AI-powered tax automation that made crypto compliance accessible to non-experts

THE CHALLENGE:
Built a 0→1 fintech product where AI needed to interpret complex blockchain transactions and generate IRS-compliant tax reports—in an industry with zero established trust patterns.

AI PRODUCT DESIGN CONTRIBUTIONS:

• Graduated Confidence System: Designed a 3-tier confidence visualization (High/Medium/Low) that communicated ML model certainty, allowing users to verify AI-categorized transactions before filing
• Progressive Trust Building: Created onboarding flows that introduced AI capabilities incrementally, reducing perceived complexity while maintaining transparency about algorithmic decision-making
• Human-in-the-Loop Workflows: Designed review interfaces where users could override AI categorizations, creating a feedback loop that improved model accuracy over time
• Explainable AI Patterns: Translated ML outputs into plain-language explanations (e.g., "Categorized as 'Trade' based on wallet address patterns and transaction timing")

CROSS-FUNCTIONAL LEADERSHIP:

• Partnered with data science team to define ML model requirements based on user research—identified that users needed "why" explanations, not just "what" predictions
• Established design-to-engineering handoff system that reduced implementation time by 40% through component-based design system
• Led stakeholder workshops to balance regulatory compliance (IRS requirements) with user experience simplicity

MEASURABLE IMPACT:

• 45% reduction in onboarding completion time through simplified AI-assisted workflows
• 32% conversion lift via trust-building UX patterns for AI categorization
• 85% reduction in engineering design clarification requests through systematic documentation
• Zero compliance incidents through transparent AI decision-making interfaces

Built production-ready React components and design system in TypeScript to ensure design fidelity and reduce dev handoff friction.

### UX Designer @ Selecto
Jan 2017 – Jan 2018 | United States
-Monitored emerging UX design trends and practices for useful techniques and cutting-edge developments suitable for integration into future projects.
- Collaborated with Backend developers and software engineering personnel to create holistic UX vision and strategies.
• Collaborated with creative team members and developers to prepare mockups, concept art, storyboards, creative briefs, and 3D models.
• Participated in brainstorming sessions with development teams to suggest enhancements.


## Education
### Master of Science - MS in Human Computer Interaction
San Francisco State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/sean-smith-sf
- Website: http://smithdesign.live

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Source: https://flows.cv/seansmith
JSON Resume: https://flows.cv/seansmith/resume.json
Last updated: 2026-02-23