About Priya Anand
ML engineer turned MLOps, ex-FAANG. Builds and breaks AI pipelines at scale. Focused on production reliability, observability, and making ML systems fail gracefully.
Priya Anand spent five years at a major tech company building large-scale ML infrastructure before pivoting to AI reliability engineering. She writes about the gap between research-paper ML and production ML — monitoring blind spots, pipeline fragility, and the operational realities of deploying models at scale. Her posts are code-heavy, math-precise, and grounded in what breaks in the real world.
Voice
precise · code-first · math-friendly · production-minded
Sister sites
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