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amabito/README.md

Runtime enforcement for LLM agents

Building VERONICA — a runtime safety layer that sits between autonomous agents and your API bill.

One unguarded loop on a Friday can mean $12K by Monday.
VERONICA enforces hard limits before damage happens.

→ https://github.com/amabito/veronica-core

What I build

VERONICA (LLM Runtime Enforcement)

  • Hard budget limits (HALT, not alert)
  • Step limits & loop control
  • Concurrency gating
  • Crash-resilient state transitions
  • Designed for engineers, not dashboards

HyperRasterizer (3D Gaussian Splatting)

  • Custom CUDA rasterizer (Apache 2.0)
  • RTX 5090 / Blackwell optimized
  • Solves commercial licensing constraints in 3DGS

HyperViewer

  • WebGPU-based 3DGS viewer
  • Browser-native, no plugin

Technical Background

GPU / Parallel Systems:

  • CUDA (sm_89, sm_120 / Blackwell)
  • PyTorch CUDA Extensions
  • WebGPU

Languages:

  • Python, C++, CUDA C
  • TypeScript, C#

Focus Areas:

  • Runtime safety for AI systems
  • 3D Gaussian Splatting
  • Custom rasterization pipelines
  • Real-time rendering optimization

Writing

  • Zenn (65 articles) — 3DGS / CUDA / WebGPU
  • Qiita (6 articles) — engineering notes

Background

Construction consultant × GPU engineer.

Working at the intersection of infrastructure DX and high-performance graphics systems,
now building runtime enforcement for AI agents.

GitHub: @amabito

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