AI Engineer Project (UC Berkeley)
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Summary
Implemented a full Large Language Model (LLM) training pipeline, integrating custom and open-source models for advanced AI capabilities.
Forward-thinking Product Designer and UX Research Consultant with a Master's in Information and Management Systems, specializing in Human-Computer Interaction, Applied AI & Machine Learning. Proven ability to drive significant improvements in conversion rates, task efficiency, and cross-functional collaboration by leveraging deep expertise in design systems, AI-focused components, and mixed-methods user research. Adept at leading end-to-end UX/UI design for complex platforms, aligning C-suite stakeholders, and implementing innovative solutions to meet global market needs.
UX Research Consultant
San Francisco, CA, US
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Summary
Leading mixed-methods user research initiatives to enhance internal design system implementations and drive global adoption of AI-focused components.
Highlights
Conducting comprehensive mixed-methods user research on internal design system implementations to increase and fast-track global adoption.
Developing AI-focused components to meet evolving global market needs and strategically integrate them into design systems.
Product Designer
Austin, TX, US
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Summary
Led product design initiatives, significantly improving user experience, driving conversion, and implementing scalable design systems for a legacy e-commerce platform.
Highlights
Boosted conversion by 30% and reduced task completion time by 70% by conducting user research and A/B testing to identify and resolve UX debt in a legacy e-commerce platform.
Directed end-to-end UX/UI design for 2 major product cycles, collaborating closely with Product Managers, Engineers, and Data Scientists to ensure seamless design handoffs and Agile sprint alignment.
Led monthly C-suite alignment meetings, presenting research insights and product development takeaways to secure stakeholder buy-in for large-scale platform changes and service design improvements.
Built and implemented the company's first design system, including components and tokens, standardizing visual design and information architecture, which reduced handoff time by 55% and improved cross-functional engineering collaboration.
Product Designer
Austin, TX, US
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Summary
Simplified complex logistical workflows for 2B+ devices, enhancing task efficiency and enabling global support coverage through strategic design and integration.
Highlights
Simplified complex logistical workflows for 2B+ devices using information architecture and interaction design principles, improving task efficiency by 30% through user interviews and heuristic evaluation.
Enabled global support coverage across 4 languages by integrating 39 internal applications into a cohesive cross-platform system, leveraging wireframing, prototyping, and accessibility design standards for wearable and mobile technologies.
Collaborated effectively in Agile development sprints with engineers, PMs, and QA teams, utilizing design documentation, Zeplin handoffs, and iterative feedback to ensure seamless deployment across global platforms.
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Master
Information and Management Systems
Courses
Human-Computer Interaction
Applied AI & Machine Learning
Product Management
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Bachelor of Fine Arts
Communication Design
Grade: 4.0
Courses
Summa Cum Laude
Fine Arts Council of Scholars
Phi Kappa Phi Honors Society
Product Strategy, UX/UI Design, User Research, Design Systems, Stakeholder Management.
Figma, Python, HTML/CSS, Claude API, Javascript.
A/B Testing, Prototyping, Agile Development, Cross-functional Collaboration.
Cursor, Claude Code, Vercel v0, Github Copilot, Figma Make, LLM Training Pipeline, RAG, Agentic Capabilities, Multimodal Capabilities, Llama, Mistral, ChatGPT, Claude.
Stakeholder Management, Product Roadmaps, Requirements Gathering, User Stories, Feature Prioritization.
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Summary
Implemented a full Large Language Model (LLM) training pipeline, integrating custom and open-source models for advanced AI capabilities.
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Summary
Led the end-to-end conceptual redesign of ChatGPT, focusing on prompt engineering and conversational UX improvements.