PPawanchander.
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AI Product Manager · Acting as product consultant

I build AI products people actually trust.

From on-device consumer apps to enterprise NLP that ships into regulated work. I treat design and data as one discipline: the half-second before feedback, the sentence a user has to defend to their boss, and the feature we choose not to build.

  • Evidence before roadmap
  • Evals before demos
  • Trust before scale
Why this exists

Most AI products fail not because the model is weak, but because no one earned the user's trust before asking for it.

I work with founders and teams as a product consultant on the hard part: turning a probabilistic system into something a person will rely on twice. That means designing the eval before the feature, sequencing the roadmap as a trust-building order, and being honest about what I'd refuse to build.