╭──────────────────────────────────────────────╮
│ NODE Rette66 │
│ MODE Research Engineer / Builder │
│ FOCUS Agents · Graphics · Diffusion │
│ CURRENT Kaiwu-pytorch-plugin │
│ OUTPUT Runnable systems + visual ideas │
╰──────────────────────────────────────────────╯ |
|
A quantum computing programming suite based on PyTorch. |
Agentic AI · Computer Graphics · Diffusion Models · Simulation · Visual Computing |
|
Python · Java · C# · Agent Workflows · Graphics Experiments · Deep Learning |
Clear abstractions, interactive feedback, visual systems, and experiments that can grow into real tools. |
[01] Agentic AI
Autonomous workflows, tool-using agents, planning, reasoning loops.
[02] Computer Graphics
Visual experiments, simulation, rendering ideas, interactive systems.
[03] Diffusion Models
Generative modeling, visual synthesis, research-to-code exploration.
[04] Quantum + PyTorch
Working with Kaiwu-pytorch-plugin and quantum computing programming tools.|
A quantum computing programming suite based on PyTorch. |
|
I like designing workflows where components are clear, composable, and useful beyond a single demo. |
I enjoy turning half-formed ideas into runnable prototypes, especially when visuals are involved. |
Graphics, simulation, and generative models are where abstract concepts become visible. |
class Rette66:
def build(self):
return {
"agents": "autonomous",
"graphics": "interactive",
"research": "runnable",
"learning": "continuous",
}
def taste(self):
return [
"clear abstractions",
"visual feedback",
"systems that feel alive",
"experiments that can grow into tools",
]
