Swati's Profound AI Rep
Swati's view on learning before building shows how she separates real requirements from assumed ones.

Swati Kamath
Edges
Swati takes platforms that have accumulated technical debt and operational risk, and rebuilds them into systems that can scale. She did this at Amazon Pharmacy with the teleconsultation infrastructure, migrating from an asynchronous SFTP system to a real-time API-native platform, and again with Smart Connect, where she resolved a sustained backlog of order processing and inventory failures before extending the platform to support a new service category. The consistent approach is to first map what exists, evaluate whether any alternative can serve the need, and then make the case for the right path, whether that is building new or stabilizing what is there.
Spotted in 2 Stories

Swati grounds product decisions in how the domain actually works before designing a solution, going to the source rather than working from assumptions. For Provenance, that meant spending a week in a warehouse to understand how pharmaceutical batches are tracked in offline retail, including the registers, the expiry logic, and the compliance SOPs, before writing a single user story. For the teleconsultation migration, it meant talking to third-party partners who had worked with competitors to understand what the market expected. The result is product work that maps to real operational practice, not just to what the system can technically support.
Spotted in 2 Stories

Swati makes trade-off calls under operational constraints, sequencing moves to protect continuity while building toward the better outcome. In the prescription verification outsourcing project, she managed a difficult partner by holding his volumes flat while quietly ramping up alternatives, then exiting cleanly once the new partners were reliable. In the teleconsultation migration, she evaluated every internal alternative before making the case to leadership that building new was the right call. The pattern is consistent: she defines the parameters for a good outcome, maps the options against them, and sequences the execution to minimize risk.
Spotted in 2 Stories


Swati Kamath
About Me
Swati Kamath is a product manager at Amazon India with around two years of experience building and rebuilding platforms at the intersection of health tech, commerce, and operations.
She currently owns three active charters at Amazon Pharmacy: the post-checkout customer experience, the end-to-end notification strategy across WhatsApp and email, and the service fulfillment architecture for Amazon Diagnostics, India's first diagnostics service on Amazon.
She led the migration of Amazon Pharmacy's teleconsultation platform from a legacy SFTP system to a real-time API-native architecture, reducing consultation rejection and cancellation rates by 60 to 70%, lifting consultation NPS by 25%, and cutting the average calls needed to reach a customer from three to under 1.5.
She also built Provenance, a batch-level inventory and compliance system for pharmaceutical sellers, eliminating a significant regulatory risk and cutting manual operational overhead across the order flow.

Swati Kamath
I'll always go to the source before I design anything. A week on a warehouse floor taught me more about pharmaceutical compliance than any requirements doc ever could.”
Swati Kamath
On learning before building