Carlos Fumo
Welcome to my portfolio!
I am a Senior Product Designer with over 9 years of experience specializing in high-impact platforms across AI, Fintech, and Enterprise SaaS. My career spans from high-growth Silicon Valley startups to Fortune 500 giants, where I have built a reputation for delivering research-backed, aesthetically precise solutions in record time. Whether leading design for Uber’s Global Platform Engineering team or being the founding designer for You.com’s pioneering AI chat, I focus on design that drives direct financial results and operational efficiency.
Core Experience
I have been shaping digital products professionally since 2014, with a decade of expertise in the design industry. My recent work includes:
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AI & Search: Founding team member at You.com, where I was the sole designer to deliver the first version of their AI chat platform in less than one month.
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Enterprise & Efficiency: Led the design of the Uber Security Center—from ideation to production in under a quarter—and modernized marshalling operations for Norfolk Southern Railway.
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Fintech & E-commerce: Supervised teams at Samsung to integrate PIX money transfer protocols for Samsung Pay and designed a marketplace chat for B2W that saved $600k in operational costs.
Education & Certifications
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Bachelor’s Degree in Graphic Design – Centro Universitário Belas Artes de São Paulo.
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Generative AI Career Essentials – Microsoft & LinkedIn.
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User Research & Design – University of Minnesota.
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Specialized Certifications: CalArts (UI Design), Google Analytics Academy, and Design Thinking from Istituto Europeo di Design.
Technical Toolkit
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Design & Prototyping: Figma, FigJam, Sketch, Adobe XD, Lottie, and Miro.
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Analytics & Research: Google Analytics, Adobe Analytics, Hotjar, and Maze.
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Management: Jira, Confluence, Asana, ClickUp, and Trello.
Expertise
User Research (Qualitative & Quantitative), User Interviewing, Design Systems, Market & Competitive Analysis, User Journey Mapping, and Agentic AI Interaction Design.
Case Study
Launching the World’s First Multimodal AI Chat
Role: Lead Product Designer (Founding Team) Timeline: 1 Month (Ideation to V1 Launch)
In a race against companies like Perplexity and ChatGPT, the goal was to transform a traditional search engine into a conversational AI platform. The primary hurdle was User Trust and Accuracy—how to provide real-time internet responses with verifiable citations and visual data
The Strategy
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Rapid Prototyping: As the sole designer, I utilized Figma and Miro to map user journeys and iterate on UI components daily to hit the 30-day launch window.
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Multimodal Integration: I designed interfaces that could handle not just text, but visual elements like stock charts and AI-generated images via Stable Diffusion.
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Responsible Design: We prioritized transparency by integrating citations directly into the AI responses to solve the "hallucination" problem inherent in LLMs.
Key Features Designed
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Citations UI: A sleek way for users to verify the source of AI claims without leaving the chat.
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Multimodal Response Cards: Custom modules for real-time data, such as Wikipedia snippets and e-commerce integrations.
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AI Image Generation Hub: A seamless workflow for users to prompt and refine images within the search interface.
The Impact
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First to Market: Successfully launched the first consumer-facing LLM with real-time internet access.
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Scalability: The design architecture supported rapid feature expansion into coding assistance (Stack Overflow) and shopping.
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Foundational Success: This V1 paved the way for You.com to become a major competitor in the generative AI space.
Design Justification (The "Why")
"By focusing on a 'Sidecar' citation model and multimodal cards, we reduced the cognitive load for users transitioning from traditional search to AI-driven conversations. My approach was to prioritize speed-to-market without sacrificing the aesthetic precision required for a Silicon Valley product."
Case Study
Uber Efficiency Platform
Senior Product Designer (Platform Engineering) Timeline: Less than one quarter (Ideation to Production)
Uber’s internal data was siloed and overly complex, making it difficult for leaders from IT to Legal to extract actionable insights quickly. The goal was to build a suite of Efficiency Products that could streamline technical documentation and present critical data in a way that informed high-level decision-making.
The Strategy
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C-Level Alignment: Reported directly to the Global CTO, ensuring the tool met the specific needs of Uber’s top leadership.
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Research-Led Design: Conducted extensive User Interviews, Market and Competitive Analysis, and User Journey Mapping to understand the specific KPIs required by different departments.
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Visual Hierarchy: Focused on "Information Density" vs. "Clarity," using Figma, Miro, and Excalidraw to prototype dashboards that could be scanned in seconds.
Key Solutions Designed
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Executive Dashboards: Created streamlined views of complex infrastructure and security data tailored for decision-makers.
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Technical Documentation Platform: Designed a centralized hub for managing technical docs across all internal areas to reduce information fragmentation.
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Unified Design Language: Adapted diverse data streams into a cohesive visual style to ensure consistency across the Platform Engineering suite.
The Impact
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Reduced "Prompt Paralysis" for Leaders: By simplifying how asset costs were presented, I enabled faster approvals for infrastructure adjustments.
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Streamlined Data Presentation: The project focused on improving how data was presented to Uber’s top decision-makers, directly impacting global efficiency
Design Justification (The "Why")
When dealing with data center assets, every percentage of efficiency translates into millions of dollars. My design goal was to create a 'Financial Health Map' of Uber’s infrastructure. By streamlining the visualization of usage costs, we empowered the CTO and other leaders to make infrastructure decisions based on real-time ROI rather than lagging technical reports.