I'm a UX and product designer building AI-powered products that drive measurable business outcomes while maintaining user trust and control. 8+ years transforming complex technology into intuitive experiences for SaaS, fintech, and enterprise platforms.
Core strength: Bridging AI/ML capabilities with human-centered design through research-driven strategy, achieving 20-62% improvements in key metrics across retention, efficiency, and user satisfaction.

Track record of delivering measurable results through strategic UX and AI-driven design
Strategic design leadership at the intersection of AI technology and human-centered design
Specialized in designing human-AI interaction patterns for LLMs, predictive analytics, and decision-support systems. Expert in balancing automation with user control.
Bridge business objectives with user needs through data-informed design decisions. Translate research insights into actionable product strategy and roadmap priorities.
Drive outcomes through mixed-methods research and quantitative analysis. Combine behavioral data with qualitative insights to validate design decisions.
Progressive career building AI-powered products across enterprise SaaS, e-commerce, and consumer platforms
Leading UX strategy for an AI-powered restaurant management platform serving mid-to-large hospitality operations. Pioneering human-AI interaction patterns that balance automation with manager control.
Architected multimodal chatbot reducing manager query resolution time by 62% while maintaining 8.6/10 satisfaction scores across 12 hospitality professionals
Designed generative staffing assistant that decreased overstaffing by 20% through scenario-based shift allocation simulations
Established trust and transparency framework using explainable AI patterns - logical summaries and human override capabilities - to overcome algorithm aversion
Authored Ethics & Society Review addressing labor equity, data privacy, and algorithmic fairness in scheduling systems
Led end-to-end research with 12 hospitality managers, achieving 85% task success rate and informing roadmap priorities
Drove product strategy for an e-commerce collectibles marketplace through data-informed design and conversion optimization. Bridged analytics insights with user-centered design to deliver measurable business impact.
Increased customer retention 20% by designing behavioral loyalty system backed by competitive research and user journey analysis
Reduced cart abandonment by 10% through navigation redesign informed by Mixpanel funnel analysis and user session recordings
Established analytics-driven design practice using Tableau, Google Analytics, and A/B testing to validate feature decisions
Redesigned information architecture for collectible categorization, improving findability and informing product expansion strategy
Collaborated with stakeholders to align UX roadmap with business KPIs, resulting in faster feature adoption
Sole UX leader for B2B and government SaaS products across agriculture supply chain and talent management verticals. Managed complex stakeholder environments and delivered enterprise-grade solutions.
Reduced user errors by 40% in bilingual, multi-role agriculture platform through contextual inquiry and IA optimization across farmer, distributor, and admin personas
Led cross-functional collaboration with product, business analysts, and engineering to implement role-based access control flows for government compliance
Designed AI-powered personality assessment module for talent SaaS (panna.ai), contributing to successful client launches and future revenue growth
Created investor-ready pitch decks and POCs that secured funding and strengthened client relationships
Established design system and component library ensuring visual consistency and development efficiency
First design hire at student media startup. Wore multiple hats including UX research, product design, and interim product management. Built design function from ground up.
Boosted retention 25% by introducing podcast library, offline playback, and content discovery features based on student listening patterns
Owned end-to-end product development for audio-first platform - research, competitive analysis, IA, wireframing, UI design, and user testing
Stepped into interim product manager role: wrote user stories, prioritized backlog, coordinated engineering sprints, and delivered on aggressive timelines
Mentored 2 design interns and built startup's first design system and documentation practices
Conducted generative research with 50+ university students to validate product-market fit and feature prioritization
Comprehensive toolkit spanning AI/ML design, research, analytics, and cross-functional leadership
Stanford Online
2025
Interaction Design Foundation
2024
Interaction Design Foundation
2024
IBM
2023
Great AI products don't just automate - they amplify human potential while maintaining transparency and control.
I combine rigorous user research with strategic business thinking to design AI experiences that users can understand, trust, and rely on. My process starts with uncovering real user needs through mixed-methods research, then translating those insights into interaction patterns that balance AI capabilities with human judgment.
Whether it's designing explainable AI dashboards, conversational interfaces, or predictive analytics tools, I focus on three core principles: transparency (users understand what the AI is doing), control (users can override and guide AI decisions), and value (the AI measurably improves their work).
This approach has consistently delivered double-digit improvements in retention, efficiency, and satisfaction - while building the user trust that's essential for AI adoption.
I'm seeking senior UX roles where I can lead AI/ML product design, mentor teams, and drive strategic outcomes. Open to full-time, contract, and consulting opportunities.