Passionate UX Strategist, Researcher & Designer

Innovating user experiences across AI, Health Care, Logistics, and Financial services while championing inclusive design and agile solutions.

Some projects are password protected. Feel free to reach out for access.

Current Projects

  • screenshot showing the custom chatGPT for UX Inspire

    User Lens Pro: AI-Powered Innovation for UX, Business, and Product Development - In Beta

    OBJECTIVE

    Design an Artificial Intelligence that could be used to guide stakeholders through the Lean UX Canvas process. This custom GPT would focus on uncovering critical insights about users and aligning strategy with business goals. By integrating industry reports, competitive analysis, and UX standards, it would provide a comprehensive plan and recommendations to enhance any business’ strategy, business, research, and design process.

    METHODS

    Product testing: sentiment, concept testing, CSAT, NPS, PMF

    Persona creation and validation

    Prototyping and usability testing

    Ethnographic studies: Interviews with product owners, designers and UX professionals across multiple industries

    Custom Developmeent: Programming, LLM & React integration

    STATUS

    I am continuing to make iterative improvements. In November 2024, this updated version with a name change was released. User Lens Pro is currently available for general use. Potential partners and developers are invited to explore and provide feedback either directly in the OpenAI Review option or via the UX Inspire Beta Survey.

  • logo with popcorn, movie reel and magnifying glass

    Movie Recommendation React Application with AI Enhanced Intelligence

    OBJECTIVE

    Develop an AI-driven movie recommendation solution that integrates with multiple streaming platforms, delivering personalized and group-specific suggestions. This custom GPT-powered solution is designed to reduce decision fatigue by offering tailored content recommendations, maximizing viewing satisfaction across all users' preferred genres and platforms.

    METHODS

    Product Testing: User feedback, satisfaction, and engagement metrics.

    Persona Development and Validation: Creating and refining user personas to ensure the system meets diverse user needs.

    Custom GPT Programming: Implementation of a specialized language model for movie recommendations.

    Responsive Web Design: Development of a React-based app with dynamic UI/UX for various devices.

    Multi-User Preference Integration: Algorithms that account for group preferences in recommendations.

    STATUS

    The project is currently in its Beta phase, with significant progress made in refining the recommendation engine and user interface. The AI GPT model is being tested and is available to try. The React app is being used for UI testing, and feedback is actively being gathered to further enhance its capabilities. Potential partners and developers are invited to explore and provide input to help shape the future of multi-person, multi-streaming video entertainment.

  • Beer Advisor Personalized AI Chat Bot

    OBJECTIVE

    Create a custom AI-driven beer recommendation solution leveraging GPT technology, designed to assist beer enthusiasts with tailored beer suggestions. Enhance user experiences by analyzing preferences, integrating contextual awareness, and providing real-time recommendations. It is designed to delight beer lovers through improved decision-making, education, and discovery, maximizing satisfaction across diverse beer styles and contexts.

    METHODS

    Contextual Awareness: Location-based and venue-aware recommendations, ensuring users get the best beers available wherever they are.

    Menu Scanning and Analysis: Allows users to upload or photograph menus for instant and specific recommendations.

    Comprehensive Data Integration: Incorporates user ratings, global beer guidelines (e.g., BJCP), and community reviews to refine suggestions.

    Dynamic Interface: Engages users with a fun, intuitive conversational platform.

    STATUS

    The project is in active development with key features such as preference-based recommendations and menu scanning implemented. The AI model dynamically adapts to user preferences and continues to evolve with feedback. Potential collaborators, beer professionals, and tech enthusiasts are invited to contribute to the GPT's development, ensuring it remains at the forefront of beer appreciation and discovery.

Past Projects

  • Next-Gen Asset Tracking: The LIQD Initiative

    OBJECTIVE
    Collaborate with global logistics and telecommunications partners to deliver a multi-factor monitoring device, cloud-based real-time data monitoring high value objects with any OS.

    METHODS
    Cross-partner UX collaboration

    User studies

    Prototype development

    Field studies across Industries ethnography,

    Developed journey maps

    Persona development and validation

    RESULTS
    Information architecture for all documentation, Web UI, mobile applications (iOS & Android). Successful launch of global industrial solution saving companies millions in property loss. The comprehensive asset tracking device integrated with real time mobile and satellite tracking resulted in a Divisional Recognition Award.

  • AI Developer Tools for Visual and Audio Processing

    OBJECTIVE
    Improve the developer experience of using the optimization and inference models. Addressing broad documentation, UI, tools and usability issues. Increase adoption across multiple partners and the deep learning developer community.

    METHODS
    Rapid Iterative Testing & Evaluation (RITE)

    Behavioral user studies

    Developer andnUser iterviews

    Global Surveys

    Participatory design

    Low to mid-fidelity prototype interviews and study sessions

    Moderated and unmoderated user testing on Linux & Windows leveraging GitHub repositories and assorted hardware accelerators.

    RESULTS

    Through iterative improvements, OpenVINO is now the open source industry leading AI engine that saw a 82% improvement in usefulness over the course of 13 months. The number of users surged exponentially, growing from hundreds to tens of thousands, largely driven by positive word-of-mouth and online acclaim.

  • Sustainable Data Center Innovation

    OBJECTIVE
    Understand practices and pain points for on-premises, cloud server users, hybrid solutions, provider partners, and customers address issues related to sustainability, re-purposing of hardware and servers. What is the “journey” of server systems and components take throughout their lifecycle?

    METHODS
    One-on-one, in-depth interviews

    Ethnographic exploration

    Affinity diagramming

    We used Dovetail for database management, transcription and analysis.

    Journeys were drafted in Figma and iterated through participatory design style interviews.

    RESULTS
    Journey maps, personas and future strategy recommendations. Provided data center and AI future trend recommendations, initiatives, and product planning opportunities for the next 30 years that continues to drive corporate strategy.

  • Advanced Biometric Security

    OBJECTIVE

    Lead the integration of PasswordBox, a cross-platform password manager acquired by McAfee, with McAfee's existing biometric authentication tools. Focus on solving password management issues by incorporating fingerprint and face detection technology. Collaborate with global teams to ensure seamless integration and broad user adoption.

    METHODS

    Initial Testing and Validation: Conducted rigorous testing and validation of the biometric authentication integration to ensure reliability and security.

    Prototyping: Developed and iterated on various login and setup options to enhance user experience.

    Browser Integrations: Created seamless browser integrations to extend the functionality and accessibility of the password manager.

    Collaboration: Worked closely with engineering and stakeholders across the US, Canada, India, China, and Brazil.

    Tools and techniques used included in-depth collaboration with cross-functional teams, participatory design, and iterative testing processes.

    RESULTS

    Successfully integrated biometric authentication into the True Key product, enhancing its security and user-friendliness. Scaled AI-driven biometric authentication tools from ideation to 2M+ users through iterative improvements using DScout, UserTesting, and UserZoom. Delivered a robust, secure password management solution on time and within budget.

  • Desktop Software Accessibility Evaluation

    OBJECTIVE

    Enhance the accessibility of McAfee Total Protection desktop software. Address various accessibility issues to ensure the software is usable for individuals with different disabilities. Improve overall user experience and increase adoption among a broader range of users.

    METHODS

    Keyboard-only navigation

    Screen reader compatibility testing (JAWS or Window Eyes)

    Screen magnifier testing (Zoom Text)

    Voice navigation testing (Dragon Naturally Speaking)

    Simulated visual impairments (using or removing glasses)

    Simulated motor impairments (using an imprecise substitute for a mouse, such as a trackball or a mouse on a reflecting surface)

    Sound adjustments (turning the sound very silent or off)

    One-handed usage testing

    High contrast mode (setting the screen to black and white to check contrast sufficiency)

    RESULTS

    Through comprehensive evaluation and targeted recommendations, McAfee Total Protection significantly improved its accessibility features. Key areas such as keyboard access, alternative text, screen reader compatibility, zoom & text control, and high contrast compatibility were addressed. These enhancements led to a more inclusive user experience, ensuring that the software could be effectively used by a wider range of users, including those with disabilities.

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  • Portfolio PDF

    A Portfolio Intro & Project PDF