Teaching Library
Turning what I learn into clear explanations.
Every video is part of my learning process. I study a topic, break it down, and explain it clearly.
Each explanation is backed by a related project when applicable.
AI/ML
LLM workflows, model intuition, evaluations, prompting, and applied machine learning systems.
No videos published in this track yet.
This section is part of the portfolio structure and will fill out as new explanations are added.
Cloud
Infrastructure, deployment patterns, backend architecture, and platform tradeoffs.
No videos published in this track yet.
This section is part of the portfolio structure and will fill out as new explanations are added.
Data
Pipelines, analytics, warehousing, experimentation data, and distributed data ideas.