I take joy in crafting exceptional products. I am a passionate Product Designer with over 20 years of experience crafting user-centered, empathy-driven products. My expertise lies in transforming complex concepts into intuitive, visually appealing interfaces, guiding ideas from inception to polished products. I excel in both dynamic startups and larger enterprises, with strengths in:
• Empathetic, User-Centered Design: Employing an end-to-end development process, ensuring pixel-perfect, high-quality designs through rapid prototyping.
• Effective Communication: Skilled at collaborating with engineering teams, building design systems, and documenting the design process thoroughly.
• Leadership and Mentorship: A self-starter with a history of entrepreneurial drive, motivated to lead and mentor fellow designers.
Work Experience
2024 - 2026
Lead Product Designer - AI/ML at Harvard Business School
• Defined and executed the UX architecture for a suite of AI-native products, leveraging machine learning to personalize user journeys and automate complex workflows. Designed and built responsive, conversational AI interfaces from scratch, ensuring integration of large-scale LLM into the user experience. Operated as a technical Product Designer, utilizing AI-driven workflows to accelerate
the design process and deliver polished, engagement-driving solutions.
2023 - 2024
Lead Product Designer at Wonderment
• Designed and built an AI-powered CRM from scratch, including data-driven dashboards, table interfaces, AI-powered filters, and visual interfaces. Applied user-centered design and data-driven design principles to enhance the buyer journey by developing an LLM-powered customer dashboard for e-commerce.
2022 - 2023
Lead Product Designer at Arist
• Designed and developed an AI-powered course builder for micro-learning, creating a reusable component library to streamline the development process. Contributed to groundbreaking e-learning features and products, enhancing the user experience with advanced real-time AI feedback and suggestions.
2022 - 2023
Director of Design at Narvar
• Directed the AI-aligned design vision for Narvar’s suite of commerce products, ensuring cohesive and responsive user experiences. Led a team of 10+ designers to deliver beautiful, easy-to-use applications through cross-functional collaboration and agile methodologies. Launched over 10 new features, revamped the user dashboard, and developed a scalable design system, bringing consistent design across all applications.
2021 - 2022
Director of Product Design at Chartmetric
• Led and mentored a team of product designers at Chartmetric, a music analytics platform. Applied design leadership and stakeholder management to design and ship over 40 features, revamp the dashboard, and create a comprehensive component library. This resulted in enhanced user experiences and a significant increase in revenue.
2013 - 2021
Lead UI Designer & Design Engineer at SurveyMonkey
• Designed and developed multiple applications from the ground up, focusing on user-centered design for SurveyMonkey’s CX dashboards. Integrated NPS analytics and metrics into business e-commerce and polling software, enabling data-driven decision-making and improving user satisfaction across brands by 30%.
Education
• Bachelor of Science, Human-Computer Interaction at Purdue University
• Certified Usability Analyst (CUA), Human Factors International
• Google UX Design Professional Certificate
Awards
• US Patent for Cervical Contour Pillow, Trademark Granted for Lofty Sleep® Logo
• Figma Socks Award for debugging a shadow layering bug in Figma.
• Designed UI for Eddy Award Winning Mac app VMWare Fusion
Industry Experience
• Successfully collaborated with top-tier clients, including Apple, Google Ventures, Meta (Facebook), Walmart.com, VMware, and Disney Interactive.
Skills
• Design: From user research and wire-framing to prototyping and final design, ensuring user-centered and visually appealing outcomes.
• Technical: AI-Native Design, HTML, CSS, React, Vercel AI SDK. Experience architecting RAG Pipelines, Agent-based workflows, and Fine-tuning LLMs for specialized use cases.
• Tools: Figma, Claude Code, Cursor, VSCode, Framer, Webflow, Spline, Jitter, Rive, AI Tools
How I Work with AI
🛠️ Prototyping in Code
I believe the fidelity of a mockup rarely matches the reality of production.
Design Engineering: I bridge the gap between Figma and the repo, often prototyping directly in code (React/Tailwind) to test feasibility instantly.
Terminal & CLI Fluency: I am comfortable designing for low-level interfaces where "UI" means text streams, latency, and information density.
Closing the Loop: I don't just hand off specs; I partner with engineers to tweak interactions until they feel right in the browser.
🤖 Designing Agentic Workflows
🛠️ Prototyping in Code
The interaction patterns for autonomous AI don’t exist yet, so I invent them.
Steerability & Trust: I design systems that allow users to guide AI agents, ensuring transparency without overwhelming the user with noise.
Handling Failure: I create graceful fallback states and permission loops that make "autonomous" work feel safe and controlled.
Human-in-the-loop: I focus on the delicate balance between automation and manual override, ensuring the user always retains agency.
⚡ Crafting Power Tools
I build for sophisticated users who demand speed and precision.
Keyboard-First Design: I prioritize shortcuts, command palettes, and keyboard navigation to keep users in their flow state.
Information Density: I know how to balance high-density data displays with readability, avoiding the "whitespace trap" of consumer apps.
Micro-Interactions: I obsess over the latency and feedback of every interaction to ensure the tool feels instant and responsive.
🚀 Navigating Ambiguity
I thrive where the roadmap is undefined.
0-to-1 Invention: I am comfortable working without precedents, defining new paradigms for how humans interact with LLMs.
Iterative Speed: I move fast, shipping, testing, and refining in tight cycles to keep pace with rapidly evolving model capabilities.
