https://github.com/prabdeb/prabdeb

https://github.com/prabdeb/prabdeb

Last synced: 5 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/prabdeb/prabdeb
• Owner: prabdeb
• License: apache-2.0
• Created: 2020-07-21T05:52:19.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2025-03-10T04:08:14.000Z (over 1 year ago)
• Last Synced: 2025-03-10T05:20:16.019Z (over 1 year ago)
• Size: 137 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          


### Hi there, I'm Prabal Deb 👋

- 🔭 I’m currently working on few [Azure-Samples](https://github.com/Azure-Samples)

- 🌱 I’m currently learning LLM and LLMOps in depth

- 💬 Ask me about `Kubernets`, `Azure`, `Python`, `MLOps`, `LLM`, `LLMOps`

### Research Work

- [MARK: Memory Augmented Refinement of Knowledge](https://arxiv.org/abs/2505.05177)

### Published Posts

- [LLMAgentOps Toolkit for Semantic Kernel](https://devblogs.microsoft.com/semantic-kernel/guest-blog-llmagentops-toolkit-for-semantic-kernel/)

- [Azure OpenAI in IoT device (your personalised chatbot)](https://medium.com/@prbldeb/azure-openai-in-iot-device-your-personalised-chatbot-b00ede7848)

- [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)

- [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)

- [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)

### Contributed in Posts

- [Microsoft Azure Architecture Blog: From Large Semi-Structured Docs to Actionable Data: Reusable Pipelines with ADI, AI Search & OpenAI](https://techcommunity.microsoft.com/blog/azurearchitectureblog/from-large-semi-structured-docs-to-actionable-data-reusable-pipelines-with-adi-a/4474054)

- [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)

- [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)

- [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)

- [Patterns for Vision on the Edge - Part 1 - Concurrent processing](https://ankitbko.github.io/blog/2022/06/vision-on-edge-part-1/)

- [Patterns for Vision on the Edge - Part 2 - Handling Multiple Consumers](https://ankitbko.github.io/blog/2022/06/vision-on-edge-part-2/)