Jagadeesh Rampam
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The ARM Wheel Problem: What's Actually Standing Between You and Graviton's 34% Cost Savings
A technical deep-dive using Parjanya's ML pipeline as a case study — and a framework for evaluating Graviton readiness for any product.
20 hrs ago
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Phagyul AI Systems Pvt Ltd
1
TBIE in Practice: Designing Resilient AI Pipelines That Recover, Reconcile, and Re-run
Event-Driven Reconciliation, Operational Reliability, and the Parjanya v2.0 Case Study
May 25
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Phagyul AI Systems Pvt Ltd
1
Context Engineering and Context Debt
How I Reduced Opus Token Costs by ~77% Without Switching Models
May 20
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Phagyul AI Systems Pvt Ltd
2
2
From Score Engine to Rule Engine: Why I Rebuilt the Decision Layer
Separating perception from policy in a production VLM pipeline
May 14
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Phagyul AI Systems Pvt Ltd
1
Sonnet 4.6 Became My New Benchmark for Building an Infra-Heavy VLM Platform
Why I moved from a Haiku-first strategy to Sonnet-first for my VLM control plane, IQA workflows, and long-context engineering
May 11
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Phagyul AI Systems Pvt Ltd
1
Parjanya v2.0: From Localhost Headaches to CloudFront+ALB Architecture
AWS CloudFront and ALB for My SPA: Security and Performance Lessons Learned
May 8
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Phagyul AI Systems Pvt Ltd
1
From localhost friction to production-shaped architecture
A case study from Parjanya v2.0: multi-tenant S3, IAM isolation, and server-to-server architecture patterns
May 3
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Phagyul AI Systems Pvt Ltd
1
April 2026
The Hidden Runtime Failure Behind Claude’s Recent Regression
A deep dive into how adaptive thinking failed at runtime—and why that broke developer trust.
Apr 27
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Phagyul AI Systems Pvt Ltd
2
When Adaptive Thinking Goes Off the Rails
My Opus 4.7 Experience as a Developer (honestly, not great!)
Apr 23
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Phagyul AI Systems Pvt Ltd
1
From 1/4 to 3/4: Re-architecting an ML Pipeline for Graviton
How I replaced fragile ML stages, eliminated x86 dependencies, and moved production workloads to ARM64
Apr 20
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Phagyul AI Systems Pvt Ltd
1
Cloud Bills as Lagging Indicators of Design Debt
Why infra, context, and AI debts quietly shape ML infrastructure costs
Apr 13
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Phagyul AI Systems Pvt Ltd
1
Why We Could Only Use AWS Graviton for 1 of Our 4 ML Lambdas
Lessons from building a production image quality assessment pipeline on ARM64
Apr 10
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Phagyul AI Systems Pvt Ltd
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