* 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.

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.

• 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.