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PowerAI Labs 🚀

Enterprise AI & Power Platform Engineering — architectures, experiments, and patterns that survive production.

The open-source home of powerailabs.dev — an engineering notebook in public for architects and lead engineers shipping Copilot, agents, and RAG on the Microsoft AI stack. AI · Copilot · Power Platform · Dynamics 365 · Azure AI.


📝 Blog & newsletter

powerailabs.dev — architecture deep-dives, lessons from production, and field notes from the Microsoft AI stack. Cross-posted as a LinkedIn newsletter — follow @mishraraghav to get it in your feed.

Latest posts

Topics: AI Agents & RAG · AI Engineering · Architecture · Azure AI · Microsoft Foundry · Lessons from Production · Dynamics 365 · Power Platform

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🌟 What we work on

  • 🤖 AI & machine learning — intelligent, local-first AI systems.
  • Power Platform & automation — production workflows with Power Apps, Dataverse, Power Automate.
  • ☁️ Cloud & on-prem AI — scalable AI solutions, on-prem and on Azure.
  • 📚 RAG & LLMs — Retrieval-Augmented Generation, local LLMs, and grounding patterns for the enterprise.
  • 🧩 Agents & MCP — Foundry Agent Service, Copilot Studio, multi-agent routing, and Model Context Protocol tools.

🔥 Featured projects

In this organisation

  • Local RAG — fully local Retrieval-Augmented Generation. No cloud LLM, no data egress. → Project page

Related work (under @raghavmishrad365)

  • TrafficIQ — 6 specialist agents, 56 function-calling tools, 3-tier routing (sticky → keyword → LLM). Built on Foundry Agent Service (GPT-4.1 / GPT-4.1-mini), Azure Maps, D365 F&O via MCP, Azure IoT Hub, and Dataverse. 🏆 Best Use of Microsoft Foundry — AI Dev Days Hackathon 2026 (selected from 401 submissions / 2,041 registrants). → Project page
  • Make Life Easy — accessibility-first Power Platform solution. 🏆 Global winner, Best DEI Use Case — Microsoft HackTogether: Power Platform Global AI Hack 2023.Project page

📖 Learning tracks

  • Learn Fine-Tuning: A Hands-On Course — 19-lesson hands-on course on fine-tuning language models with PyTorch and Hugging Face. Covers foundations, transfer learning, SFT, LoRA / QLoRA, RLHF, DPO, and production deployment.
  • Learn LLMOps: A Hands-On Course — 27 lessons + 3 projects on building, deploying, and managing LLM systems in production. Covers RAG, fine-tuning, evaluation, model serving, security, cost optimisation, and AI dev infrastructure.

🏆 Recognition

  • 🏆 Best Use of Microsoft Foundry — AI Dev Days Hackathon 2026 (TrafficIQ).
  • 🏆 Best DEI Use Case — Microsoft HackTogether: Power Platform Global AI Hack 2023 (Make Life Easy, global winner).
  • 🥈 1st Runner Up — Microsoft Dynamics 365 Customer Insights ITeS Hackathon 2021 (financial-crime intelligent automation).

🛠️ Tech stack

  • AI / ML: Microsoft Foundry, Foundry Agent Service, GPT-4.1, Ollama, FAISS, local LLMs, PyTorch, Hugging Face Transformers, PEFT, TRL.
  • Microsoft cloud: Azure AI, Azure AI Search, Azure Maps, Azure IoT Hub, Dataverse, Dynamics 365 F&O, Copilot Studio, Microsoft 365 Copilot.
  • Integration: Model Context Protocol (MCP), Power Automate, function-calling tools.
  • Web & API: FastAPI, React, Azure.
  • Data processing: OCR, PDF / DOCX parsing, embedding models.

📢 Let's connect


PowerAI Labs is a space for engineering AI-powered solutions on the Microsoft stack — built by Raghav Mishra, Senior Product Architect (AI & Power Platform).

Popular repositories Loading

  1. .github .github Public

  2. LocalRAG LocalRAG Public

    A fully local AI-powered document processing and search system.

    Python

  3. Learn-Fine-Tuning-A-Hands-On-Course Learn-Fine-Tuning-A-Hands-On-Course Public

    Learn Fine-Tuning: A Hands-On Course

    Jupyter Notebook

  4. Learn-LLMOps-A-Hands-On-Course Learn-LLMOps-A-Hands-On-Course Public

    Learn LLMOps: A Hands-On Course

    Jupyter Notebook

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