AI Systems Engineer · Chennai, India · Remote

I design and build AI systems, from the first idea to production.

Agents, agentic workflows, retrieval and memory, plus the backends, data models and infrastructure underneath them. Shipping software since 2020; today a senior engineer on a manufacturing SaaS platform, and building my own agent tooling on the side.

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Add me to your agent

claude mcp add --transport http devjags https://thedevjags.com/mcp

How did Jags stop retried agent runs from writing twice?

read_work switchboard · Each write is keyed by its run step, sha256(runId, action, callIndex), not by its input, so a retry that rephrases an issue title still writes once. Switchboard

Case studies, daily notes and review playbooks, inside your agent.Everything it can do →

What I build

Agentic systems

Multi-agent orchestration, tool and MCP design, working memory, and the review and verification loops that make agent output trustworthy.

AI products, 0 to 1

From a vague problem to a shipped product: framing, data model, APIs, interface, deployment, and the feedback loop after launch.

Foundations

Kotlin and Spring Boot services on PostgreSQL, six ERP and accounting integrations, and infrastructure as code on AWS and GCP.

Selected systems

All work →

One short note every morning: a real problem broken down, a field note on AI engineering, or one concept explained.

Working together

I am open to AI engineering roles and a small number of zero-to-one builds where the hard part is the system, not the screen. The fastest way to reach me is email.