Ruiming Zhao - Prysai AI systems and developer tools

Ruiming Zhao

AI agents, image model training, and developer tools.

I build and inspect AI systems that hold up beyond the demo: agents, retrieval, evaluation, and tool use in real developer workflows.

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USA

GitHub
Prysai Lab
LinkedIn

The work

I work through the full agent engineering loop: choose the right model and context, connect tools safely, measure quality and failure modes, and turn what works into repeatable workflows.

The standard is simple: fewer impressive demos, more systems that can be tested, understood, and improved.

AI agents

Tool use, retrieval, evaluation, and operational boundaries for dependable workflows.
Image models

Full-quantization training and fine-tuning workflows for image AI models since 2024.
Delivery systems

Documentation, checks, release paths, and infrastructure that make work inspectable.

Building with Prysai

FLAGSHIP / EVIDENCE-LED LEARNING SYSTEM
Prysai LLM Playbook

A public, six-language learning and practice system for reliable work with LLMs, Codex, Skills, tools, and agent workflows. It pairs concepts with observable labs, acceptance checks, and source boundaries.

Repository · Documentation · Hugging Face Space

Public development candidate: structure and checks are available to inspect; broader learner validation and independent review remain in progress.

Selected open-source contributions

jupyterlab/jupyter-chat
Test reliability
Isolated YStore databases for parallel UI tests.
microsoft/agent-framework
Agent runtime
Operational warnings and prompt-cache usage preservation.
gnt-ai/gnt
Agent CLI
JSON automation, connectors, documentation, and review output.
vllm-project/semantic-router
Routing and observability
Replay attribution, cache consistency, and stable lifecycle checks.
livekit/agents
Voice AI
Explicit Google Speech-to-Text project selection with compatibility preserved.
oomol-lab/open-connector
Product integration
Expanded Resend workflows and resilient run-log summaries.

Build carefully. Measure what matters. Keep the boundary visible.

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