01
Ground in Empathy
Map emotional context and core business goals to establish the strategic vision first.
Process
01
Map emotional context and core business goals to establish the strategic vision first.
02
Deploy agents to synthesize data, draft architectures, and generate multi-dimensional UI variations.
03
Refine machine outputs into polished interfaces, seamless interactions, and clear design systems.
04
Validate with real users, automate design-to-code QA, and iterate tightly with engineers.
Work

01 / WEBSITE
An end-to-end website for an enterprise agentic AI platform — UX architecture, a dark-mode visual system and a modular component library, taken from structure to live production through an AI-assisted design-to-code workflow.
View case study
02 / ENTERPRISE PRODUCT
ProtectedA visual pipeline workspace for enterprise data migration — mapping canvas, rule configuration and field-level Source vs Candidate reconciliation. Built canvas-first because engineers would not trust chat-generated mappings in production, and architected for the conversational mode that follows. Cut schema reconciliation time roughly in half.
View case study
03 / ENTERPRISE PLATFORM
A guided, self-service data platform that turns multi-week enterprise ETL pipelines into minutes — ingestion, AI-assisted attribute mapping, natural-language transformation rules and scheduling, with no code required for most work.
View case study
04 / 3D · REAL-TIME
A static architectural render rebuilt as a walkable, real-time environment — interactive lighting and contextual product hotspots, taken from Blender through to Unreal Engine 5 and holding 60+ FPS.
View case study01 / 04
Slide 1 of 4: DataSwitch.co