Capability profiles for the AI era.
Builds open-source AI tooling spanning voice-enabled assistants, RAG chatbots, LangChain/LangGraph pipelines, and MCP servers. Based in Leander, TX, with technical writing published on Medium.
🔗 medium.com/@klcoderBuilds production-ready LLM-powered apps using LangChain, LangGraph, Ollama, and local/quantised models (Mistral, Phi-3, LLaMA).
Designs and ships RAG systems that scrape, embed, and query knowledge bases with conversational memory.
Integrates speech-to-text (Whisper) and text-to-audio (Bark) with LLM backends over WebRTC to create real-time voice agents.
Authored the open-source `tool_calling_llm` Python mixin that adds bind_tools / structured output to any LangChain chat model.
Fluent in Python for AI/ML, REST APIs, CLI tooling, and Jupyter-based experimentation.
Creates Model Context Protocol servers (FastMCP) exposing tools like image generation to LLM agents and Open WebUI pipelines.
Orchestrates Human-in-the-Loop and multi-step agent workflows using LangGraph functional and graph APIs.
Rapid-prototypes AI demos and chatbot UIs with Streamlit for local and cloud deployment.
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