About the Author

🎯 Who?

Hello! I’m Jahongir Hakimjonov — a Python backend developer. I work in the Django, DRF, FastAPI ecosystem and am currently expanding my knowledge towards ML/MLOps Engineer.

This book was born from my learning journey and the desire to share it with others. In Uzbekistan there is a lack of practical ML/MLOps materials in our own language, especially for backend developers. This book is an attempt to fill that gap.

Why this book?

Most ML courses are written for becoming a data scientist. But the backend developer’s path is different:

• You already have production thinking
• Docker, Postgres, Redis, API design — your strong sides
• What you need — learning the ML lifecycle in this context

I went exactly through this path — and combined what I learned into a 6-month roadmap, which I present to you.

Contacts

How can I help?

For questions

• Unclear parts of the book’s topics
• Concepts that caused difficulty in learning
• Advice on tool/framework choice

Fastest response — via Telegram.

Book errors / suggestions

On the GitHub repository open an Issue or send a Pull Request:

• Spelling errors
• Outdated information (LLM versions, library APIs)
• Suggestions for new topics or chapters

Mentoring / Code review

If you need help with your ML project:

• Code review — free for small projects
• Architecture consulting — ML integration into Django/FastAPI
• Career advice — on the backend → ML path

Contact via email or LinkedIn.

Conference / Meetup

Open to giving talks/sessions on ML/MLOps topics in Uzbek:

• Tashkent IT meetups
• University visits
• Corporate trainings

My learning path (briefly)

As someone walking your path:

• **Backend start:**Django, DRF — many years
• **With FastAPI:**modern async Python
• **ML interest:**classical ML → Deep Learning
• **MLOps focus:**shipping to production — the biggest challenge
• **LLM era:**working with RAG and agents

Right now — at the time of writing this book — I am in the phase of strengthening myself in the ML/MLOps Engineer role. Let’s learn together!

Acknowledgments

Thanks to everyone who contributed to this book:

• Open source communities — scikit-learn, PyTorch, HuggingFace, LangChain, MLflow and others
• Chip Huyen — for the book “Designing ML Systems” and MLOps philosophy
• Andrew Ng, fast.ai, Andrej Karpathy — the best educational materials
• Uzbek IT community — @uzbekdevs, https://taplink.cc/mlc_uz and meetups
• To you — everyone who read the book, gave feedback and suggestions

Parting thought

“A backend developer’s path to ML is not starting from a new language, but unlocking new possibilities of your own.”

If this book was useful to you:

• ⭐ Star on GitHub — so others can find it
• Share — in Telegram channels, on LinkedIn
• 💬 Give feedback — to make it better

And most importantly — start. The first step is the hardest. But after 6 months you’ll be a different person.

Good luck!