In this podcast episode, we talked with Bartosz Mikulski about Data Intensive AI.
About the Speaker:
Bartosz is an AI and data engineer. He specializes in moving AI projects from the good-enough-for-a-demo phase to production by building a testing infrastructure and fixing the issues detected by tests. On top of that, he teaches programmers and non-programmers how to use AI. He contributed one chapter to the book 97 Things Every Data Engineer Should Know, and he was a speaker at several conferences, including Data Natives, Berlin Buzzwords, and Global AI Developer Days.
In this episode, we discuss Bartosz’s career journey, the importance of testing in data pipelines, and how AI tools like ChatGPT and Cursor are transforming development workflows. From prompt engineering to building Chrome extensions with AI, we dive into practical use cases, tools, and insights for anyone working in data-intensive AI projects. Whether you’re a data engineer, AI enthusiast, or just curious about the future of AI in tech, this episode offers valuable takeaways and real-world experiences.
0:00 Introduction to Bartosz and his background
4:00 Bartosz’s career journey from Java development to AI engineering
9:05 The importance of testing in data engineering
11:19 How to create tests for data pipelines
13:14 Tools and approaches for testing data pipelines
17:10 Choosing Spark for data engineering projects
19:05 The connection between data engineering and AI tools
21:39 Use cases of AI in data engineering and MLOps
25:13 Prompt engineering techniques and best practices
31:45 Prompt compression and caching in AI models
33:35 Thoughts on DeepSeek and open-source AI models
35:54 Using AI for lead classification and LinkedIn automation
41:04 Building Chrome extensions with AI integration
43:51 Comparing Cursor and GitHub Copilot for coding
47:11 Using ChatGPT and Perplexity for AI-assisted tasks
52:09 Hosting static websites and using AI for development
54:27 How blogging helps attract clients and share knowledge
58:15 Using AI to assist with writing and content creation
🔗 CONNECT WITH Bartosz
LinkedIn: https://www.linkedin.com/in/mikulskibartosz/
Github: https://github.com/mikulskibartosz
Website: https://mikulskibartosz.name/blog/
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