Welcome to my Machine Learning & MLOps hub!
The right place to learn how to build production-ready ML systems.
Papers Club "Engineering an End-to-End ML System for a Financial Assistant Using LLMs"
TDE Workshop | The Full Stack 7-Steps MLOps Framework
Let's Talk AI | #32 - MLops, ML Engineer, AI systems and Deep Learning with Paul Iusztin
Hi, I am Paul Iusztin. I help ML engineers design and productionize ML systems.
I am a senior machine learning engineer and contractor with 6+ years of experience in building software.
My mission is to build data-intensive AI/ML systems that innovate the world.
I am passionate about designing and implementing scalable and modular AI/ML systems using MLOps good practices.
With my extensive background in machine learning, software engineering, and mathematics, I can research, architect, build, deploy, test, and monitor clean artificial intelligence solutions that directly impact your business.
The goal of this ML & MLOps hub is to share this passion with you.
This is how I can help you.
#001. Decoding ML Newsletter
I will help you decode complex topics about ML & MLOps one week at a time.
#002. Hands-On Courses
Self-paced FREE courses that will help you learn ML & MLOps in a structured way.
#003. Hands-On ML Blog
ML & MLOps blog, where I am documenting my entire learning process.
Writing weekly hands-on ML & MLOps content on:
Top articles from the Decoding ML Newsletter
Top articles from my blog
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A Framework for Building a Production-Ready Feature Engineering Pipeline
Lesson 1: Batch Serving. Feature Stores. Feature Engineering Pipelines.
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Unlocking MLOps using Airflow: A Comprehensive Guide to ML System Orchestration
Lesson 4: Private PyPi Server. Orchestrate Everything with Airflow.
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How to Quickly Design Advanced Sklearn Pipelines
Compose all the components from Scikit-Learn Pipelines to build custom production-ready models.
