From CS Graduate to AI Engineer: Building in Public

A computer science graduate is transparently documenting their transition into AI engineering through continuous learning and experimentation—a practice increasingly vital as AI skills become industry-wide requirements. By publicly sharing discoveries in machine learning, LLMs, system design, and emerging technologies, they demonstrate how open documentation accelerates both personal development and community knowledge. This reflects a broader shift toward collaborative learning cultures where consistent iteration and real-world building outweigh passive knowledge consumption.