Hi, I'm xyanncat
Agentic AI + MLOps Engineer
Building systems that think, recover, and stay understandable when the edge cases arrive.
Autonomous pipeline
Complex systems, made legible.
I work at the intersection of Agentic AI, MLOps, and systems engineering — making autonomous infrastructure reliable enough to trust and clear enough to use.
Dev cat
xyanncat
The interesting part of AI infrastructure is not the demo. It's the connective tissue: orchestration, observability, recovery, and the interfaces that help people understand what the system is doing.
From custom LLM trainers and robust data pipelines to thoughtful frontend surfaces, I build the layer between complex machine learning ideas and software people can actually work with.
The ecosystem is the portfolio.
Six public repositories across agentic systems and interface work — a focused view of the same practice from orchestration to shipped surfaces.
Tools that keep the signal clear.
A practical stack for moving from fuzzy idea to reliable system — without losing the human interface along the way.
Languages
- Python
- TypeScript
- SQL
AI & ML
- PyTorch
- MLflow
- NVIDIA NIM
- OpenRouter
Systems
- Docker
- Kubernetes
- Next.js
- Three.js
The latest experiments live on GitHub; conversations and collaborations happen on Discord.
Discord