AI product engineer / multimodal mapping
i map(x)
text -> imageText, image, audio, logs, scenes, and traffic mapped into controllable products, code, state, and operations.
AI products with production-grade systems.
Hands-on across product interfaces, agent runtimes, cloud platforms, model serving, data pipelines, and SRE automation.
Systems as interfaces.
Agents, memory, devices, and generative media shaped into usable tools.
Memory as infrastructure
schemas / queues / graphs / retrievalMessy platforms, clean tools
CLI / MCP / browser / task I/OPixels under direction
image / voice / timeline / model controlArt is a timeline you can scrub.
Motion, text, shade, and progress on one controlled axis.
Scroll becomes time.
Frame, annotation, and exit state share one progress value.
Proof in products, not pitch decks.
PageOn
AI PPT generation: visual representation language, structured LLM output, multimodal agents.
app.pageon.aiCyber Space
App Store multimodal AI chat: text, voice, image input, Stable Diffusion, voice conversion.
App StoreTencent SRE systems
TDSQL, Python ops packages, single-machine deploy, alert remediation, container optimization.
Automation / container optimization / SREPublic traces
Repos and images: forks, prototypes, containers, and model-service experiments.