Work
Each project lists which of the eight stages, from planning to deployment and operation, I covered.
Newest first. 12 projects
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Marketing support for a healthcare company app
2026
I built the mid- to long-term marketing strategy from user journeys and KPI design, aligned the departments involved, and supported the app through requirements definition.
Quantitative outcomes are confidential.
- Planning
- Requirements definition
- Design
Stage details
- Planning:
- Mid- to long-term marketing strategy and support for executing it
- Requirements definition:
- Support for app requirements gathering and definition
- Design:
- KPI design; user journey maps
-
UX redesign of a financial institution's BtoC contract process
2025–2026
I led the UX redesign of the contract process, from the three-to-five-year vision through per-touchpoint screen design. The vision includes AI-to-AI contracting, in which AI agents conclude contracts with each other, and I use generative AI to streamline the design work itself.
Quantitative outcomes are confidential.
- Planning
- Requirements definition
- Design
- Deployment and operation
Stage details
- Planning:
- Mid- to long-term vision (including AI-to-AI contracting) and migration roadmap on a three-to-five-year horizon
- Requirements definition:
- Support for requirements gathering and definition
- Design:
- Service design; As-Is / To-Be user journey maps, UX concept, screen design
- Deployment and operation:
- Built UX-based criteria into the client's decision-making process
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Generative AI in education R&D
2023–2025
I tested, alone, the conditions under which generative AI works in education, from the technology survey through interaction design and impact measurement.
Quantitative outcomes are confidential. The published portion appeared in a peer-reviewed paper (STEM Education Research Vol. 7).
- Research
- Proof of concept
- Design
- Implementation
- Measurement
Stage details
- Research:
- Technology survey
- Proof of concept:
- PoC planning and classroom use-case scenarios
- Design:
- Interaction design that supports learning efficiency and motivation
- Implementation:
- Firebase + TypeScript prototype
- Measurement:
- Evaluation platform on GCP and user interviews
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Peer-effect cohort learning
2022–2025
I took an online community for peer learning from concept and learning-scenario design through development and operation, then handed it over to a business unit. I used machine learning to measure how much peer influence contributes to retention, and used that to raise retention.
Quantitative outcomes are confidential.
- Planning
- Research
- Design
- Implementation
- Measurement
- Deployment and operation
Stage details
- Planning:
- Online community concept
- Research:
- Literature and market research, technology selection
- Design:
- Firebase + TypeScript serverless architecture and learning scenarios
- Implementation:
- App and analytics platform on Firestore and Vue / Nuxt.js
- Measurement:
- Behavioral-log metrics; machine-learning measurement of contributions to retention
- Deployment and operation:
- Developed and operated, then transferred to a business unit
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Turning inquiry-based courses into an online business
2021–2025
I took an online project-based learning (PBL) course for junior high students and an inquiry course for elementary students end to end, from the business plan and service design to running them, using AI agents in operations to cut workload. The junior high course became part of the company's flagship lineup.
Quantitative outcomes are confidential.
- Planning
- Design
- Implementation
- Deployment and operation
Stage details
- Planning:
- Business plan
- Design:
- Service design
- Implementation:
- System and learning-material development
- Deployment and operation:
- Operation with AI agents to cut workload; made it a flagship product and rolled out its core technologies to other business units
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Behavioral design R&D for learning retention
2021–2022
I researched what keeps learners going, framed as behavioral design, and built a system that uses generative AI (digital human technology) to propose individual interventions.
Quantitative outcomes are confidential.
- Design
- Implementation
Stage details
- Design:
- Individual interventions keyed to progress and understanding
- Implementation:
- Intervention system using generative AI (Vue / Nuxt.js, Firebase)
-
Company-wide R&D strategy
2020–2025
I put a company-wide R&D roadmap for growth three to ten years out to the executive team, then drove the R&D projects under the approved strategy.
Quantitative outcomes are confidential.
- Planning
- Research
- Proof of concept
Stage details
- Planning:
- 3–10 year R&D roadmap proposed to executives
- Research:
- Research on next-generation learning technologies and learning theory
- Proof of concept:
- Carried out R&D under the approved strategy
-
Multimodal emotion analysis system
2020–2021
I built a system that uses AI to analyze voice and facial expressions and predict instructor ratings, and integrated it into the production service.
Cut instructor management effort by 40% year on year and raised customer satisfaction by 2 points year on year.
- Research
- Proof of concept
- Implementation
- Measurement
- Deployment and operation
Stage details
- Research:
- Accuracy and coverage of existing technologies
- Proof of concept:
- Visualizing emotion from voice and facial data
- Implementation:
- Azure Cognitive Services and Python
- Measurement:
- Correlation with learning outcomes; prediction of instructor ratings
- Deployment and operation:
- Integration into the production service
-
IoT / LPWA new business development
2018–2019
I drove a new business built on IoT and low-power wide-area (LPWA) networks myself, from the technology survey through device and platform development to business validation.
Quantitative outcomes are confidential.
- Planning
- Research
- Proof of concept
- Design
- Implementation
Stage details
- Planning:
- Service planning, business plan, investment decision
- Research:
- Technology and market research
- Proof of concept:
- Business validation
- Design:
- Dynamic pricing based on demand forecasting
- Implementation:
- Sensor devices, GCP processing platform, APIs
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University library app with SSO
2016–2018
I implemented AI book recommendations based on borrowing history and single sign-on with campus systems, and ran the project, design included, from estimates through operation.
Quantitative outcomes are confidential.
- Requirements definition
- Design
- Implementation
- Deployment and operation
Stage details
- Requirements definition:
- Requirements definition
- Design:
- Visual design and single sign-on architecture
- Implementation:
- App and AI book recommendations
- Deployment and operation:
- Operation and improvement proposals from usage data
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SaaS growth hacking
2016–2018
I handled admin panel improvements and the log analysis foundation, and made RCT-measured impact the basis for deciding what to improve.
Quantitative outcomes are confidential.
- Requirements definition
- Implementation
- Measurement
- Deployment and operation
Stage details
- Requirements definition:
- Support for requirements definition (estimates as well, in a presales role)
- Implementation:
- Admin panel improvements, location data analysis
- Measurement:
- RCTs and log analysis with AWS Athena
- Deployment and operation:
- Helped launch the customer success team; set up KPIs and analysis procedures
-
Notification system for regional banks
2016
As project leader, I set a design policy balancing security and usability, and ran the project from estimates through maintenance.
Adopted by 23 regional banks.
- Design
- Implementation
- Deployment and operation
Stage details
- Design:
- Design policy balancing security and usability
- Implementation:
- Development and testing
- Deployment and operation:
- Maintenance and operation
* Project visuals are withheld due to confidentiality agreements.
Self-initiated
Work outside client projects, built solo from concept through implementation.
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Torqueo
2024 / Category: Media art, product
I built, alone from concept through implementation, a device that takes the everyday act of twisting and turns it into a trigger for recalling emotion. As Jamjet Iqbal, I showed it at the Tokyo Metropolitan Art Museum (joint alumni exhibition of an art university) in April 2024.
Quantitative outcomes are confidential.
- Planning
- Design
- Implementation
Stage details
- Planning:
- Concept: twisting as a trigger for recalling emotion
- Design:
- Device design
- Implementation:
- Building and exhibiting the device
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Creative Copilot ↗
2023–present / Category: Research project, self-initiated
I planned, built, and have run alone a generative-AI chatbot that supports students' generative art work in an online intensive course at an art university's distance-learning programme. It doubles as a research project and has been in use since 2023.
Examined with 36 students using a mixed-methods design; self-rated engagement, comprehension, and satisfaction rose. Published as first author in a peer-reviewed paper (STEM Education Research Vol. 7).
- Planning
- Design
- Implementation
- Measurement
- Deployment and operation
Stage details
- Planning:
- Use-case scenarios for the course
- Design:
- Interaction design for supporting students' work through dialogue
- Implementation:
- Chatbot implementation
- Measurement:
- Mixed-methods evaluation design with 36 students
- Deployment and operation:
- Running it in the course since 2023
Stage definitions
- Planning
- Drew up the mid- to long-term vision, roadmap, and business plan that executives and business units based their decisions on.
- Research
- Surveyed technologies, markets, and literature to choose which technologies to use and how to proceed.
- Proof of concept
- Built small prototypes to test whether the technology works and whether it can become a business.
- Requirements definition
- Worked with stakeholders to identify requirements, and wrote the business and system requirements.
- Design
- Handled service and experience design, screen and information design, and cloud architecture.
- Implementation
- Built the cloud infrastructure and applications hands-on, from prototype to production.
- Measurement
- Quantified impact through behavioral-log metrics, RCTs, and evaluation platforms.
- Deployment and operation
- Ran the service in production, stood up the department, and handed it over to business units and frontline staff.
The stages correspond to the international standards for human-centred design (ISO 9241-210) and innovation management (ISO 56002).