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About Logeshwaran
I am an experienced AWS Full Stack Developer with expertise in building scalable, cloud-native applications using a wide range of technologies, including AWS, Angular, Java, Node.js, Python, Terraform, Docker, and TypeScript. With a strong focus on delivering high-performance solutions, I specialize in leveraging AWS services for cloud architecture, creating dynamic front-end interfaces, and building efficient back-end systems. I have hands-on experience in automating infrastructure with Terraform, containerizing applications using Docker, and implementing DevOps best practices.
Day 63: IAM for Agents: Roles, Not God Keys
Posted inAI AWS

AI agent IAM: IAM for Agents: Roles, Not God Keys

This senior-level guide covers AI agent IAM with production trade-offs for reliability, security, and cost.
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Day 66: Audit Trails Humans Can Replay
Posted inAI System Design

AI audit trails: Audit Trails Humans Can Replay

This senior-level guide covers AI audit trails with production trade-offs for reliability, security, and cost.
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Day 67: Supply Chain: Model and Image Provenance
Posted inAI AWS

AI model provenance: Supply Chain: Model and Image Provenance

This senior-level guide covers AI model provenance with production trade-offs for reliability, security, and cost.
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Day 68: Abuse and Cost Attacks
Posted inAI AWS

AI agent cost attacks: Abuse and Cost Attacks

This senior-level guide covers AI agent cost attacks with production trade-offs for reliability, security, and cost.
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Day 69: Policy as Code for Shell and Apply
Posted inAI System Design

AI agent policy as code: Policy as Code for Shell and Apply

This senior-level guide covers AI agent policy as code with production trade-offs for reliability, security, and cost.
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Day 70: Project: Secure Coding-Agent Sandbox on ECS Fargate
Posted inAI AWS

Coding Agent Sandbox: Secure Builds on ECS Fargate

This senior-level guide covers coding agent sandbox with production trade-offs for reliability, security, and cost.
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Day 73: Draft-Then-Verify Routing
Posted inAI Machine Learning

AI draft verification: Draft-Then-Verify Routing

This senior-level guide covers AI draft verification with production trade-offs for reliability, security, and cost.
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Day 75: Autoscaling Retrieval and Embed Jobs
Posted inAI AWS System Design

RAG job autoscaling: Autoscaling Retrieval and Embed Jobs

This senior-level guide covers RAG job autoscaling with production trade-offs for reliability, security, and cost.
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Day 76: p99 of Agents: Queueing, Not Just Model Latency
Posted inAI AWS System Design

AI agent latency: p99 of Agents: Queueing, Not Just Model Latency

This senior-level guide covers AI agent latency with production trade-offs for reliability, security, and cost.
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Day 77: Caching RAG Answers Safely
Posted inAI AWS

RAG answer caching: Caching RAG Answers Safely

This senior-level guide covers RAG answer caching with production trade-offs for reliability, security, and cost.
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