Hi, I am Paul Iusztin!

I am a senior machine learning engineer and contractor with 𝟲+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. I design and implement modular, scalable, and production-ready ML systems for startups worldwide.

My central mission is to build data-intensive AI/ML systems that serve the world.

Since training my first neural network in 2017, I have 2 passions that fuel my mission:

→ Designing and implementing production AI/ML systems using MLOps best practices.

→ Teaching people about the process.

I currently develop production-ready Deep Learning products at Metaphysic, a leading GenAI platform. In the past, I developed Computer Vision and MLOps solutions for CoreAI, Everseen, and Continental.

Also, I am the Founder of Decoding ML, a channel for battle-tested content on learning how to design, code, and deploy production-grade ML and MLOps systems.

I am writing articles and posts each week on:

- 𝘓𝘪𝘯𝘬𝘦𝘥𝘐𝘯: 29k+ followers - 𝘔𝘦𝘥𝘪𝘶𝘮: 2.5k+ followers - 𝘚𝘶𝘣𝘴𝘵𝘢𝘤𝘬 (𝘯𝘦𝘸𝘴𝘭𝘦𝘵𝘵𝘦𝘳): 6k+ followers

.

If you want to learn how to build an end-to-end production-ready LLM & RAG system using MLOps best practices, you can take Decoding ML’s self-guided free course:

→ 🔗 𝘓𝘓𝘔 𝘛𝘸𝘪𝘯 𝘊𝘰𝘶𝘳𝘴𝘦: 𝘉𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘠𝘰𝘶𝘳 𝘗𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯-𝘙𝘦𝘢𝘥𝘺 𝘈𝘐 𝘙𝘦𝘱𝘭𝘪𝘤𝘢

For weekly content on production ML, consider following me on:

📘 LinkedIn

🖋️ Newsletter

💻 GitHub

🐦 Twitter/X