danvillar (Dan Villar) · GitHub
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danvillar/README.md

Hey, I'm Dan 👋

🚿 Account Manager @ Pace Solutions — leader in complete water treatment solutions 🧠 Building real-world solutions with code, from treatment insights to adaptive AI
🐧 Dev environment: WSL2 + VS Code + Docker + AWS Lambda


⚙️ What I’m Working On

🔹 Opsnap – A scenario-based training platform 🔹 Opsintel – A guided operational intelligence platform
🔹 LocaleLingo – A tone-aware phrase engine for travelers & learners
🔹 ControllerSim – A production-ready controller simulator for use in water treatment of cooling towers and boilers 🔹 Mini-StrathosAI – My own local LLM-based microservice for tone adaptation
🔹 StartTap – An adaptive learning platform to teach by solving real-world problems


🔧 Tools & Tech I Use

Python Docker AWS Lambda WSL


📌 Goals

  • Build scenario-based training platform
  • Build faster solutions with adaptive microservices
  • Help others learn to code by solving real-world pain
  • Bring AI to industries like water treatment, education, and local production

🔁 Always learning, always building.
📬 Let’s connect: github.com/danvillar

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  1. llm-twin-course llm-twin-course Public

    Forked from decodingai-magazine/llm-twin-course

    🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

    Python