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        <title><![CDATA[Road to Full Stack Data Science - Medium]]></title>
        <description><![CDATA[Inspired by the Towards Data Science publication. The Road to Full Stack Data Science (RFSDS) aims to explore the idea of what a full-stack data scientist is, can be, will be. - Medium]]></description>
        <link>https://medium.com/road-to-full-stack-data-science?source=rss----270fbfa591c1---4</link>
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            <title>Road to Full Stack Data Science - Medium</title>
            <link>https://medium.com/road-to-full-stack-data-science?source=rss----270fbfa591c1---4</link>
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        <generator>Medium</generator>
        <lastBuildDate>Sat, 23 May 2026 06:21:37 GMT</lastBuildDate>
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        <webMaster><![CDATA[yourfriends@medium.com]]></webMaster>
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        <item>
            <title><![CDATA[Automate schema mappings with LLMs]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/automate-schema-mappings-with-llms-637e55988524?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1536/1*zz-KIBZa0R0XLsBChD2O1A.png" width="1536"></a></p><p class="medium-feed-snippet">Can we automate the schema mappings between the tables of a legacy database and the tables we want to create in a cloud database?</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/automate-schema-mappings-with-llms-637e55988524?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/automate-schema-mappings-with-llms-637e55988524?source=rss----270fbfa591c1---4</link>
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            <category><![CDATA[llm]]></category>
            <category><![CDATA[prompt-engineering]]></category>
            <category><![CDATA[automation]]></category>
            <category><![CDATA[etl]]></category>
            <category><![CDATA[pyspark]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Fri, 03 Oct 2025 09:36:54 GMT</pubDate>
            <atom:updated>2025-10-03T09:37:39.012Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Function Calling IRL: Turning LLMs into Data-Gathering Machines with Flowise]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/function-calling-irl-turning-llms-into-data-gathering-machines-with-flowise-c86b3e33d955?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1024/1*Z0guirD5ng_5KLLeItQd1g.png" width="1024"></a></p><p class="medium-feed-snippet">Now let&#x2019;s build something more functional (pun intended &#x1F643;). Function calling allows our AI-Agents to do more than just produce content&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/function-calling-irl-turning-llms-into-data-gathering-machines-with-flowise-c86b3e33d955?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/function-calling-irl-turning-llms-into-data-gathering-machines-with-flowise-c86b3e33d955?source=rss----270fbfa591c1---4</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[ai-agent]]></category>
            <category><![CDATA[flowise]]></category>
            <category><![CDATA[llm-function-calling]]></category>
            <category><![CDATA[llm]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Mon, 28 Jul 2025 10:09:58 GMT</pubDate>
            <atom:updated>2025-07-31T11:32:21.954Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[From Blog Writer to Social Media Guru: Adding a bit more complexity to our Prompts with FlowiseAI]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/from-blog-writer-to-social-media-guru-adding-a-bit-more-complexity-to-our-prompts-with-flowiseai-bb28baabde3a?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1024/1*xHuDa_O8PcsUvtEflgUG1A.png" width="1024"></a></p><p class="medium-feed-snippet">The previous post &#x201C;Build a Storyteller &amp; Title Guru: AI-Agent Playground with FlowiseAI&#x201D; which had two workers with very simple&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/from-blog-writer-to-social-media-guru-adding-a-bit-more-complexity-to-our-prompts-with-flowiseai-bb28baabde3a?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/from-blog-writer-to-social-media-guru-adding-a-bit-more-complexity-to-our-prompts-with-flowiseai-bb28baabde3a?source=rss----270fbfa591c1---4</link>
            <guid isPermaLink="false">https://medium.com/p/bb28baabde3a</guid>
            <category><![CDATA[ai-agent]]></category>
            <category><![CDATA[ai-video-script]]></category>
            <category><![CDATA[ai-writing-tool]]></category>
            <category><![CDATA[flowise]]></category>
            <category><![CDATA[ai-social-media-tools]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Wed, 16 Jul 2025 16:26:26 GMT</pubDate>
            <atom:updated>2025-07-16T16:26:56.686Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Microsoft Fabric — The Basics]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/microsoft-fabric-the-basics-37dda576b655?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1536/1*WYnII0jfnz_ez_mdVT6q5g.png" width="1536"></a></p><p class="medium-feed-snippet">As a data engineer, I found myself using Microsoft Synapse and Cosmos DB a few months ago, and through those tools, I got introduced to&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/microsoft-fabric-the-basics-37dda576b655?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/microsoft-fabric-the-basics-37dda576b655?source=rss----270fbfa591c1---4</link>
            <guid isPermaLink="false">https://medium.com/p/37dda576b655</guid>
            <category><![CDATA[fabric]]></category>
            <category><![CDATA[microsoft-fabric]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[data-engineering]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Tue, 15 Jul 2025 08:58:26 GMT</pubDate>
            <atom:updated>2025-07-15T08:59:01.222Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Build a Storyteller & Title Guru: AI-Agent Playground with Flowise]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/build-a-storyteller-title-guru-ai-agent-playground-with-flowise-a2b6f92631c6?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1536/1*P6rBm8H6ToHp4bg2hjAezg.png" width="1536"></a></p><p class="medium-feed-snippet">So far, we&#x2019;ve talked about AI-Agent fundamentals&#x200A;&#x2014;&#x200A;what powers them, how they&#x2019;re defined, some examples of what they can do, and tools and&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/build-a-storyteller-title-guru-ai-agent-playground-with-flowise-a2b6f92631c6?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/build-a-storyteller-title-guru-ai-agent-playground-with-flowise-a2b6f92631c6?source=rss----270fbfa591c1---4</link>
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            <category><![CDATA[ai-agents-in-action]]></category>
            <category><![CDATA[flowise]]></category>
            <category><![CDATA[multi-agent-systems]]></category>
            <category><![CDATA[ai-worker]]></category>
            <category><![CDATA[prompt-engineering]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Mon, 07 Jul 2025 12:57:51 GMT</pubDate>
            <atom:updated>2025-07-08T08:44:29.897Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[The Secret Sauce Behind Smart AI Agents: APIs Explained]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/the-secret-sauce-behind-smart-ai-agents-apis-explained-f21f01866334?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1536/1*XvV-735o9JHdOdnhMzXhIA.png" width="1536"></a></p><p class="medium-feed-snippet">So far, we talked about function calling with RAG models, tools that already exist on our computers, such as the calculator, or even an&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/the-secret-sauce-behind-smart-ai-agents-apis-explained-f21f01866334?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/the-secret-sauce-behind-smart-ai-agents-apis-explained-f21f01866334?source=rss----270fbfa591c1---4</link>
            <guid isPermaLink="false">https://medium.com/p/f21f01866334</guid>
            <category><![CDATA[model-context-protocol]]></category>
            <category><![CDATA[ai-agent]]></category>
            <category><![CDATA[mcps]]></category>
            <category><![CDATA[api]]></category>
            <category><![CDATA[ai]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Fri, 04 Jul 2025 09:52:04 GMT</pubDate>
            <atom:updated>2025-07-04T09:52:07.121Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Making Sense of RAG: Vector DBs & Embeddings Explained]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/making-sense-of-rag-vector-dbs-embeddings-explained-06b06a0cc141?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1024/1*nIzAhvBKZ1eRGNbLVsOIyQ.png" width="1024"></a></p><p class="medium-feed-snippet">In this post, we are going to attempt to talk about Retrieval-Augmented Generation (RAG), vector databases, and embedding models. We want&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/making-sense-of-rag-vector-dbs-embeddings-explained-06b06a0cc141?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/making-sense-of-rag-vector-dbs-embeddings-explained-06b06a0cc141?source=rss----270fbfa591c1---4</link>
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            <category><![CDATA[embedding-model]]></category>
            <category><![CDATA[llm]]></category>
            <category><![CDATA[rags]]></category>
            <category><![CDATA[vector-embeddings]]></category>
            <category><![CDATA[llm-agent]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Mon, 30 Jun 2025 12:56:35 GMT</pubDate>
            <atom:updated>2025-06-30T12:57:26.118Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[LLM Function Calling]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/llm-function-calling-e19cdf6531ce?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1024/1*vtueWd4rM1l0kzsvytra6A.png" width="1024"></a></p><p class="medium-feed-snippet">We previously mentioned large language models (LLMs) and their function-calling ability in the &#x201C;Intro to AI Agents&#x201D; post. Simply put, LLMs&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/llm-function-calling-e19cdf6531ce?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/llm-function-calling-e19cdf6531ce?source=rss----270fbfa591c1---4</link>
            <guid isPermaLink="false">https://medium.com/p/e19cdf6531ce</guid>
            <category><![CDATA[llm-function-calling]]></category>
            <category><![CDATA[llm-agent]]></category>
            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[llm]]></category>
            <category><![CDATA[ai]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Thu, 26 Jun 2025 10:14:26 GMT</pubDate>
            <atom:updated>2025-06-26T14:25:47.297Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[The World of LLMs: Foundations, Models, and Practical Considerations]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/the-world-of-llms-foundations-models-and-practical-considerations-d2ad520623dd?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/2048/1*_LELqUDTmgY8QOnvk-qJCA.png" width="2048"></a></p><p class="medium-feed-snippet">If you are not a Medium member, use this link to read for free</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/the-world-of-llms-foundations-models-and-practical-considerations-d2ad520623dd?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/the-world-of-llms-foundations-models-and-practical-considerations-d2ad520623dd?source=rss----270fbfa591c1---4</link>
            <guid isPermaLink="false">https://medium.com/p/d2ad520623dd</guid>
            <category><![CDATA[neural-networks]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[tokenization]]></category>
            <category><![CDATA[transformers]]></category>
            <category><![CDATA[llm]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Mon, 23 Jun 2025 19:53:12 GMT</pubDate>
            <atom:updated>2025-06-24T10:29:26.914Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Intro to AI-Agents]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/road-to-full-stack-data-science/intro-to-ai-agents-c0bfadd47290?source=rss----270fbfa591c1---4"><img src="https://cdn-images-1.medium.com/max/1536/1*f4K24GawWT39YLLQEIDyZw.png" width="1536"></a></p><p class="medium-feed-snippet">If you are not a Medium member, follow this link to read this post for free</p><p class="medium-feed-link"><a href="https://medium.com/road-to-full-stack-data-science/intro-to-ai-agents-c0bfadd47290?source=rss----270fbfa591c1---4">Continue reading on Road to Full Stack Data Science »</a></p></div>]]></description>
            <link>https://medium.com/road-to-full-stack-data-science/intro-to-ai-agents-c0bfadd47290?source=rss----270fbfa591c1---4</link>
            <guid isPermaLink="false">https://medium.com/p/c0bfadd47290</guid>
            <category><![CDATA[diffusion-models]]></category>
            <category><![CDATA[ai-agent]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[llm]]></category>
            <category><![CDATA[large-language-models]]></category>
            <dc:creator><![CDATA[Tasos Pardalis]]></dc:creator>
            <pubDate>Thu, 19 Jun 2025 10:18:52 GMT</pubDate>
            <atom:updated>2025-06-24T10:31:25.502Z</atom:updated>
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