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AI Engineer


by Nicolas Neudeck

As an AI Engineer, my focus is on designing, developing, and maintaining AI models and systems to tackle challenges and enhance decision-making within organizations. I have a deep interest in scalable architecture, DevOps pipelines, efficient programming, code quality, and best practices. On this page, I aim to share insights, tutorials, and some unique discoveries that might not be easily found elsewhere, all of which reflect my journey and learning in the field.

My Current Interests


Automated AWS Deployment

Automate the deployment of resources across multiple accounts and regions using a pipeline, ensuring efficient setup for both development and production environments. This approach supports consistent configurations, integrates with CI/CD processes, and includes rollback capabilities for improved stability.

LangChain

LangChain is a comprehensive framework enabling the development of context-aware and reasoning-driven applications powered by language models, supported by Python and JavaScript libraries, templates, and deployment tools.

My focus lies in understanding the RAG pipeline intricately, while also constructing chains of prompts to develop complex generative AI tools.

Ragas

Ragas is a tool designed to assess and quantify the performance of Retrieval Augmented Generation (RAG) pipelines, which enhance language model applications by incorporating external data into their context.

I find immense value in evaluating RAG pipelines to transform prompt engineering into a more scientific and data-driven practice.

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