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Data Intensive AI - Bartosz Mikulski
Mar 21, 2025
Bartosz Mikulski, an AI and data engineer, delves into the fascinating realm of Data Intensive AI. He shares his journey from Java development to AI engineering, emphasizing the pivotal role of testing in data pipelines. The conversation explores practical strategies for testing and the integration of AI tools like ChatGPT and Cursor in development workflows. Bartosz provides insights into creating a Chrome extension for lead classification on LinkedIn, while discussing prompt engineering techniques and the impact of AI on coding practices. A must-listen for data enthusiasts!
54:54
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Quick takeaways
- Effective testing is crucial in data pipelines to ensure accuracy and reliability, preventing trust issues related to erroneous outputs.
- AI technologies are transforming data engineering workflows, emphasizing the converging roles of data engineers and AI in developing robust solutions.
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