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Writing

I write about:

  • RAG Systems: Building production-ready retrieval-augmented generation systems

  • AI Engineering: Best practices for deploying and maintaining AI applications

  • Software Architecture: Clean code and system design principles

  • Personal Growth: Lessons learned in my journey as an AI engineer

Use the Archive and Categories sections in the sidebar to explore posts by year or topic.

Recommender Systems: The Unsexy AI That Actually Works

Everyone is obsessed with AI agents right now. Autonomous systems that plan and execute tasks. Multi-step reasoning. Tool use. The whole package.

Meanwhile, half the apps you use every day run on recommender systems. Netflix telling you what to watch. Spotify building your playlists. Amazon showing you products. YouTube deciding your next video. These systems move billions of dollars and nobody talks about them anymore.

I spent last year deep in recommender systems for my computer science degree. Built a few from scratch. Learned what works and what breaks at scale. The best part? If you've worked with RAG applications, you already understand half of it. The concepts overlap way more than you'd think.

How I Build Python Projects (My Way, Simple & Solid)

An opinionated, scalable way to structure Python projects using hexagonal architecture, SOLID, and practical DDD.

A friend asked me: "What's the proper way to build a Python project?" Here's my take. It's what I use for clients and at my 9 to 5. I like SOLID and Domain‑Driven Design, but I don't chase perfection. I just want code that stays tidy when the app grows.