About Me
I transform complex systems into intuitive, AI-enhanced product experiences that drive measurable user and business outcomes.
I leverage generative AI to rapidly prototype and analyze user data, shifting my focus from repetitive tasks to high-level strategy and empathy. By designing adaptive experiences that blend AI efficiency with a human touch, I deliver personalized solutions that feel authentic. This approach allows me to accelerate workflows while strictly maintaining core principles of clarity and accessibility.
As a Product & UX Designer, I don’t just design screens; I architect solutions that bridge the gap between human cognition and technological capability. My background in neuroscience research at the NIH provides a unique lens: I design based on how people actually think, decide, and behave, ensuring every interaction reduces cognitive load and supports real user needs.
Highlights
Digital Sales Application
Redesigned the Boston Globe's digital sales interface through cross-functional collaboration, driving a 74% increase in digital subscriptions and significantly boosting internal team efficiency.
CMS Application
Optimized a critical Content Management System (CMS) workflow, delivering $120K in annual cost savings and accelerating production speed by 60%.
Air Operations Centers
Streamlined critical operations across multiple military branches and improving data integration to enhance life-saving mission effectiveness.
Future Air Operations Centers
Led strategic design for Future Air Operations Centers, reducing development timelines over 25% in some branches while improving data availability and integration.
Policyholder Application
Redesigned the GEICO policyholder application through cross-functional collaboration. J.D. Power satisfaction scores climbed into the high-860s range.
Sales Application
Led the redesign of the GEICO sales application, driving higher conversion rates. Earnings increased from premiums over $2 billion dollars.
AI-Integrated Design
Research Acceleration
Streamlined the discovery phase for Veteran Pathfinder by deploying AI to aggregate and analyze qualitative data from diverse sources, saving manual synthesis time by an estimated 60–80% and accelerating the identification of core user needs.
Rapid Prototyping
After defining user flows for Medosome Biotec's Clinical Trials Dashboard, I deployed generative AI to rapidly iterate on visual prototypes and generate production-ready code for interactive testing, reducing prototyping time by an estimated 50–65% while maintaining design fidelity.
Impact-Driven Experience
My work is defined by connecting the dots between user pain points and business goals. I’ve led end-to-end design initiatives for diverse organizations including the U.S. Air Force, GEICO,The Boston Globe, and biotech startups.
- Complex Data Simplification: I replaced fragmented spreadsheets with a unified, real-time oversight platform after discovering leadership lacked instant risk visibility. By collaborating with compliance officers and data engineers to build instant alerts and a single source of truth, I achieved 0% financial loss from missed data, reduced analysis time by 15%, and shortened leadership meetings by 30% through immediate, actionable clarity.
- Lean UX in Action: I adopted Lean UX over traditional design thinking to validate assumptions before committing engineering resources, ensuring we build only what users need. By running rapid, AI-assisted "build-measure-learn" loops and co-creating success metrics with Product Management and Engineering, I reduced development cycles by 30% while ensuring every feature is grounded in real user data and business goals.
My Toolkit & Philosophy
My approach is adaptive, shifting between strategic discovery and tactical execution depending on the project phase.
Core Competencies:
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Problem & Opportunity Discovery:
User Research, AI-Assisted Synthesis, Journey Mapping, and Opportunity Solution Trees. -
Information Architecture & Product Design:
Structuring Data, End-to-End UI/UX, Interaction Design, and Design Systems Architecture. -
Validation:
Usability Testing, A/B Testing, and Data-Driven Iteration. -
Collaboration:
Cross-Functional Leadership with Engineering, Product Management, and Data Science.
