I’m Noriyuki Fujimura, an AI Experience Designer and Creative Technologist based in London. I design connected experiences, interactive systems, and rapid prototypes that blend creative technology with emerging AI workflows to deliver AI-native products and real-time digital experiences. My approach centers on people-first design, rapid prototyping, and translating complex AI concepts into approachable, meaningful user experiences. I collaborate across product, design, and engineering teams to build scalable content generation pipelines, ML-enabled tools, and location-based or physical-digital experiences. I enjoy turning research insights into production-ready AI systems and engaging, accessible experiences that scale across touchpoints and contexts.…

Noriyuki Fujimura

PRO

I’m Noriyuki Fujimura, an AI Experience Designer and Creative Technologist based in London. I design connected experiences, interactive systems, and rapid prototypes that blend creative technology with emerging AI workflows to deliver AI-native products and real-time digital experiences. My approach centers on people-first design, rapid prototyping, and translating complex AI concepts into approachable, meaningful user experiences. I collaborate across product, design, and engineering teams to build scalable content generation pipelines, ML-enabled tools, and location-based or physical-digital experiences. I enjoy turning research insights into production-ready AI systems and engaging, accessible experiences that scale across touchpoints and contexts.…

Available to hire

I’m Noriyuki Fujimura, an AI Experience Designer and Creative Technologist based in London. I design connected experiences, interactive systems, and rapid prototypes that blend creative technology with emerging AI workflows to deliver AI-native products and real-time digital experiences. My approach centers on people-first design, rapid prototyping, and translating complex AI concepts into approachable, meaningful user experiences.

I collaborate across product, design, and engineering teams to build scalable content generation pipelines, ML-enabled tools, and location-based or physical-digital experiences. I enjoy turning research insights into production-ready AI systems and engaging, accessible experiences that scale across touchpoints and contexts.

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Skills

Experience Level

Python
Expert
PyTorch
Expert
C#
Expert
TensorFlow
Expert
React JS
Expert
JavaScript
Expert
Unity
Expert
HTML5
Expert
Data Visualization
Expert
MySQL
Expert
Data Science
Expert
SQL
Expert
CSS
Expert
Kubernetes
Expert
PostgreSQL
Expert
Docker
Expert
React Native
Expert
TypeScript
Expert
AWS
Expert
Google Cloud
Intermediate
Github CoPilot
Intermediate
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Work Experience

AI Product Experience Designer / Conversation Designer at Amazon Japan — Alexa
January 1, 2022 - January 1, 2025
Designed and delivered conversational AI behaviour frameworks deployed at scale in consumer Alexa environments, contributing to increased user engagement. Collaborated with product, engineering, and design teams to launch AI-powered experiences, translating user research into production-ready AI systems, and contributing to scalable content systems enabling dynamic and context-aware content delivery across touchpoints.
Creative Technologist at Digital Garage
January 1, 2018 - January 1, 2022
Developed Unity-based 3D applications connected to real-time Google Spreadsheet data workflows for designer-facing tools. Built rapid prototypes combining machine learning, AR, spatial interaction, and physical-digital experiences. Created computer vision-based interactive experiences, including AR prototypes with over 500 unique users per week, and designed a real-time interactive event platform for conferences supporting 500+ concurrent users.
Voice UX Designer at Nuance Communications
January 1, 2015 - January 1, 2017
Designed voice-first UX and AI product experiences for consumer and enterprise deployments. Translated user research and behavioral data into production-ready AI systems and contributed to scalable content systems enabling dynamic content delivery across touchpoints.
UX Designer at Samsung Electronics
January 1, 2010 - January 1, 2015
Designed and shipped user experiences for mobile and consumer electronics, collaborating with cross-functional teams to deliver intuitive interfaces and interactive applications, and supporting rapid prototyping and testing of new interaction paradigms.
Researcher at Carnegie Mellon University Studio for Creative Inquiry
January 1, 2001 - January 1, 2004
Conducted research in interactive media and creative inquiry, contributing to projects exploring AI-driven media, human–computer interaction, and cross-disciplinary collaboration.
Researcher at AIST Japan
January 1, 2005 - January 1, 2007
Engaged in research programs related to creative technology and AI-assisted media, contributing to experimental studies and prototypes.

Education

PhD (All But Dissertation) at Keio University
January 11, 2030 - May 17, 2026
MFA at Keio University
January 11, 2030 - May 17, 2026
BA at Tokyo University of the Arts
January 11, 2030 - May 17, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Media & Entertainment, Software & Internet, Professional Services, Education, Other
    paper Designing Conversational AI Experiences: Amazon Alexa

    I designed and delivered conversational AI experiences for Alexa in Japan, focusing on increasing user engagement through real-world content and interaction design.
    This included building voice-based experiences that integrate live information, content partnerships, and user-facing features within Alexa’s AI ecosystem.

    What I did
    – Designed conversational flows and interaction patterns for Alexa features
    – Developed content-driven AI experiences in collaboration with partners (e.g. Asahi Shimbun)
    – Implemented real-time information delivery (e.g. live sports updates)
    – Designed user engagement mechanisms (home screen features, notifications)
    – Evaluated performance and iterated based on user behaviour

    System / Approach
    User query → conversational model → content integration → response design → user feedback loop
    Designed interactions that connect structured content (news, sports, media) with conversational AI responses.

    Outcome

    • Drove several-fold increases in user engagement through content-driven AI interactions
    • Delivered large-scale conversational experiences used in daily life
    • Successfully launched and iterated campaigns over multiple seasons

    Key Insight
    Conversational AI design requires bridging structured content, user intent, and system behaviour — not just generating responses.