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Writing & Prototyping

I divide my writing to three blocks: technical deep dive articles, data science & data value chain blog posts, and digital notes.


Articles

In these articles, I explore machine learning and deep learning concepts. I share my experiments, learnings, and struggles while implementing machine learning models and concepts. By breaking down complex topics into smaller pieces, I hope to make these concepts more approachable for others who, like me, are fascinated by this field. The content includes code examples and explanations of the underlying math as I understand it.

All articles are listed here 

Blog Posts

This blog strives to focus on data science and the data value chain. Along the way, it might cover data engineering, machine learning, AI, data team organization, data craftsmanship, problem-solving, some philosophical reflections and quick takes on trends and best practices.

Latest blog posts :

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Digital Notebook

My digital notebook is a space where I organize and share technical knowledge from my tinkering, development, and prototyping work. It contains two main sections:

Knowledge base

Contains technical guides, tutorials, and documentation across different programming languages and frameworks. Topics range from system architecture and optimization techniques to deployment strategies and debugging workflows.


Code snippets

I share code snippets from my development work. These include solutions to common problems, useful functions, and programming patterns I've implemented across various projects. All code is documented and tested, ready to be used as reference or integrated into other work.