Jagadeesh Rampam

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When SageMaker Wasn't the Problem
The Parjanya v2.0 case study: how AWS primitives replaced a managed ML platform through reconciliation, replay, and event-driven orchestration
 • Phagyul AI Systems Pvt Ltd
From Pipeline to Platform
Event-Driven TBIE Architecture, Reconciliation Patterns, and the Lessons from Building Parjanya v2.0
 • Phagyul AI Systems Pvt Ltd
Prompt Debt: How We Doubled Throughput Without Changing the Model
A Parjanya v2.0 field note on inferencing, information waste, and why deleting things sometimes creates more value than adding them
 • Phagyul AI Systems Pvt Ltd
Terraform at Scale: What Actually Worked, What Didn’t, and the Cost of Trusting AI with Infrastructure
A Parjanya v2.0 field note from migrating a real platform across AWS accounts, repositories, and automation layers
 • Phagyul AI Systems Pvt Ltd
Why We Use Three AWS Accounts (Not Two) for Parjanya v2.0
The infrastructure decision most startups postpone — and the one I almost did too
 • Phagyul AI Systems Pvt Ltd
Archetypes of the Southern Ocean
How the Falkland Islands, South Georgia and Antarctica Changed the Way I See Wildlife
 • Phagyul AI Systems Pvt Ltd
Building a Second Brain
Why memory, context and accumulated knowledge may matter more than bigger models.
 • Phagyul AI Systems Pvt Ltd
Valuing an Indian Octopus: Info Edge Through Damodaran’s Lens
Two engines. One balance sheet. A sum-of-the-parts valuation.
 • Phagyul AI Systems Pvt Ltd
Traditional Japan (Monochrome)
When I first arrived in Hokkaido, I was captivated by colour.
 • Phagyul AI Systems Pvt Ltd

May 2026

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