serendip-ml

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Building!

serendip-ml

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Building!

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PhD CS | 18y systems engineering (HFT, blockchain CTO) | building prod-level agent infrastructure

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serendip-ml/README.md

Agents That Learn

Memorization != Learning

Production-grade infrastructure for LLM agents that improve over time.

llm-gent        ▶ Multi-agent coordination
    ▲
llm-saia        ▶ Verb vocabulary for LLM agents
    ▲
llm-kelt        ▶ Feedback collection + LoRA fine-tuning
    ▲
llm-infer       ▶ Inference server (vLLM, Ollama, native)
    ▲
appinfra        ▶ Python infrastructure foundation

Agent operation ▶ runtime feedback ▶ model improvement

📝 Blog — Research notes and updates

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llm-works/llm-gent llm-works/llm-gent Public

Agent framework with trait-based architecture and learning capabilities

Python
llm-works/llm-saia llm-works/llm-saia Public

Structured verbs for LLM interactions (verify, critique, decompose, extract, synthesize...)

Python 1
llm-works/llm-kelt llm-works/llm-kelt Public

Framework for collecting and managing LLM context: facts storage, feedback collection, RAG retrieval, and LoRA fine-tuning

Python 1
llm-works/llm-infer llm-works/llm-infer Public

LLM inference server with native, vLLM, and Ollama backends, including a client to interact with multiple LLM providers

Python
llm-works/appinfra llm-works/appinfra Public

Production-grade Python infrastructure framework for building reliable CLI tools and services

Python
claude-code-skills claude-code-skills Public

Evidence-based code analysis skills for Claude Code: project grading and pre-PR review