u/AhmetUtku11

I’m a recent computer engineering graduate with 3+ years of coding experience and about 2 years working as a software engineer. Recently, I’ve become much more interested in understanding and building AI/ML systems at a deeper technical level instead of just using APIs and tools.

I’ve taken ML/AI courses at university and regularly use tools like Claude and Codex in my workflow, but I want to strengthen my fundamentals and become more technically strong in machine learning and modern AI systems.

I’m looking for recommendations on:

• Books, papers, or learning resources worth studying
• Practical projects or activities that helped you learn
• Good ways to transition from SWE into ML/AI engineering
• Topics I should focus on first (math, deep learning, systems, transformers, etc.)
• Advice from people who made a similar shift

My goal is to move beyond simply using AI tools and actually understand how these systems work under the hood and how to build them effectively.

Thanks in advance.