Building a Production-Style ML Model Registry
TODO: draftA practical note on model versions, artifacts, metrics, and serving boundaries.
Technical notes, research reflections, and longer-form essays on AI systems, machine learning, quantum computing, and learning.
Planned essays and notes are listed here as placeholders until full Markdown/MDX posts are added.
A practical note on model versions, artifacts, metrics, and serving boundaries.
Workflow boundaries, retrieval quality, tool calls, and grounded answer design.
Notes on retrieval quality, citation coverage, groundedness, and regression tests.
How temporal validation, costs, and baselines keep experiments honest.
Planned essays and notes are listed here as placeholders until full Markdown/MDX posts are added.
A bridge note between tensor decompositions, physics intuition, and ML models.
Encoding choices, circuit costs, and why simple examples matter.
A running checklist for interpreting quantum ML experiments carefully.
Planned essays and notes are listed here as placeholders until full Markdown/MDX posts are added.
A personal reflection on changing problem styles without losing scientific discipline.
Thoughts on choosing problems, reading signals, and building better technical judgment.
A lighter note on how speculative ideas shape engineering taste.