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is a ✨ _special_ ✨ repository because its `README.md` (this file) appears on your GitHub profile.\n\nHere are some ideas to get you started:\n\n- 🔭 I’m currently working on ...\n- 🌱 I’m currently learning ...\n- 👯 I’m looking to collaborate on ...\n- 🤔 I’m looking for help with ...\n- 💬 Ask me about ...\n- 📫 How to reach me: ...\n- 😄 Pronouns: ...\n- ⚡ Fun fact: ...\n--\u003e\n\n### Hi there, I'm Prabal Deb 👋\n\n- 🔭 I’m currently working on few [Azure-Samples](https://github.com/Azure-Samples)\n- 🌱 I’m currently learning LLM and LLMOps in depth\n- 💬 Ask me about `Kubernets`, `Azure`, `Python`, `MLOps`, `LLM`, `LLMOps`\n\n### Research Work\n\n- [MARK: Memory Augmented Refinement of Knowledge](https://arxiv.org/abs/2505.05177)\n\n### Published Posts\n\n- [LLMAgentOps Toolkit for Semantic Kernel](https://devblogs.microsoft.com/semantic-kernel/guest-blog-llmagentops-toolkit-for-semantic-kernel/)\n- [Azure OpenAI in IoT device (your personalised chatbot)](https://medium.com/@prbldeb/azure-openai-in-iot-device-your-personalised-chatbot-b00ede7848)\n- [Automated Test Environment for Azure Kubernetes Service (AKS) Applications — using kind](https://medium.com/microsoftazure/automated-test-environment-for-azure-kubernetes-service-aks-applications-using-kind-f9fdbd2e8894)\n- [Dealing with Helm Charts of micro-services with interdependent API end points](https://medium.com/@prbldeb/dealing-with-helm-charts-of-micro-services-with-interdependent-api-end-points-2fe9b508e484)\n- [Mocking during Python Unit Testing with Azure Event Hubs and SQL Database](https://medium.com/@prbldeb/mocking-during-python-unit-testing-with-azure-event-hubs-and-sql-database-d32ee6b9ebcc)\n\n### Contributed in Posts\n\n- [Microsoft Azure Architecture Blog: From Large Semi-Structured Docs to Actionable Data: Reusable Pipelines with ADI, AI Search \u0026 OpenAI](https://techcommunity.microsoft.com/blog/azurearchitectureblog/from-large-semi-structured-docs-to-actionable-data-reusable-pipelines-with-adi-a/4474054)\n- [Azure Architecture Center: Design and develop a RAG solution](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/rag/rag-solution-design-and-evaluation-guide)\n- [Azure Architecture Center: Baseline OpenAI end-to-end chat reference architecture](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/architecture/baseline-openai-e2e-chat)\n- [Azure Architecture Center: Orchestrate MLOps on Azure Databricks using Databricks Notebook](https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/orchestrate-mlops-azure-databricks)\n- [Patterns for Vision on the Edge - Part 1 - Concurrent processing](https://ankitbko.github.io/blog/2022/06/vision-on-edge-part-1/)\n- [Patterns for Vision on the Edge - Part 2 - Handling Multiple Consumers](https://ankitbko.github.io/blog/2022/06/vision-on-edge-part-2/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprabdeb%2Fprabdeb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprabdeb%2Fprabdeb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprabdeb%2Fprabdeb/lists"}