Ajin Baby · AI Platform & Cloud Infrastructure Architect
Making cloud run itself,
without losing control of it.
Designing AI-enabled cloud platforms — from agentic infrastructure and MCP servers to self-healing systems — for safety-critical and regulated industries.
I ship this in production at a global aviation-software company. The book, research, and code on this site are all free.
The book
Self-Healing Infrastructure
Building Autonomous Cloud Systems with AI
Most writing about AI and infrastructure stops at the demo. This book starts on the day the model is confidently wrong at 3 a.m. and an auditor asks who authorised the action it took.
Research
Preprints on reliability engineering for AI-enabled infrastructure, each with runnable companion code. They're self-published and not peer reviewed.
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From Incident to Failing Build: Incident-Derived Regression Testing for AI-Agent Guardrails
A corpus of ten publicly documented AI-agent production failures, normalised into runnable reproductions behind a CI gate, with a measured ablation showing which guards are load-bearing and what configuration drift costs.
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Stateless Protocol, Stateful Problem: Durability, Retry, and Retention Policy for MCP Tasks
The MCP Tasks extension specifies a lifecycle and leaves the operational policy open. A measured study of durability, poll cost, failure classification, and a client/server coupling that silently cancels live work.
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Error Budgets for Autonomy: SLO-Driven Authority Management for Autonomous AI Operators
Transplanting SRE error-budget semantics onto agent authority: a blast-radius-weighted budget and an asymmetric authority ladder, with a measured simulation study.
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Stable by Design: A Control-Theoretic Account of AI-Driven Self-Healing Remediation Loops
Self-healing systems fail as loops, not decisions. A control-theoretic model of AI remediation, its instability modes, and the constructs that settle them — measured.
Latest field notes
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The Evidence an AI Operator Owes You Before It Acts
A tool-call log answers none of the eight questions an agent incident raises. A decision-time evidence record answers all eight, before the action runs.
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Your Agent's Safety Argument Has an Expiry Date. Write Down the Defeaters.
An assurance case says why an agent may act unattended. Defeaters say when that stops holding. Wire them to live state and authority drops on its own.
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Shadow Mode Isn't Evidence Until You Score It
In a seeded simulation, the agent with 95% concordance made 17 harmful high-severity proposals; the one with 88% made none. Score shadow mode properly.
Tools I build in the open
Who's writing this
I'm Ajin Baby: 15 years in cloud infrastructure and platform engineering, now a Staff Software Engineer working on AI platforms. Along the way I co-founded two companies and grew one from $500 in capital to ~$500K ARR across 110+ countries. IEEE member; MS in AI in progress. More about me →