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Open to senior full-stack & AI engineering roles

Building intelligent systems. Containing the agents that run them.

Thirteen years shipping production software, most recently as web tech lead at Adthena. Now designing infrastructure that keeps autonomous agents contained, verified and affordable.

Portrait of Rishi Tank
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TypeScriptPythonJavaReactNext.jsNode.jsMCPFastMCPClaude CodeFastAPIPostgreSQLRedshiftRabbitMQRedisDockerKubernetesAWSGitHub ActionsPlaywrightOpenFeatureOAuth 2.1 / OIDC / SAML
Most recently

Over six years at Adthena.

Latterly tech lead on the web team of an AI search-intelligence company: 0-to-1 product, identity, platform and AI tooling.

AIO Signals

Lead web engineer from discovery to GA on a 0-to-1 tab of the AI Overview Dashboard, winner at the European and Global Search Awards 2026.

Agent-ready rebuild

Contributed to the foundation of an agent-ready rebuild: one monorepo for the frontend, backend and services, so engineers and coding agents work with the whole system in one place.

Enterprise SSO

Built OIDC and SAML single sign-on end to end, then owned the rollout with customer success.

AI tooling

Took AI code review from a hackday demo, through a multi-week team trial, to the standard across engineering, and built the Claude Code tooling the web team used on incidents.

The full timeline, and the open-source work
How I build

An autonomous agent, contained.

Five stages for one agent action: four separately built and tested components, then the record they keep. They are not one wired pipeline yet.

  1. 01

    Gate

    Agent OS decides whether this agent may act at all — on this target, with this budget, right now. Spend, external communications, production changes and anything with legal consequence always stop for a human.

  2. 02

    Contain

    Grit checks the tool call against a declared policy. Undeclared tools are denied, every path is resolved before it is compared, and anything that may write is snapshotted first.

  3. 03

    Egress

    The egress proxy redacts PII, meters cost, and only then forwards — so nothing unredacted is ever measured, logged or sent. A vendor outage becomes a fast refusal, not a hang.

  4. 04

    Verify

    ADLC judges what actually changed on disk against what was declared. It never reads the tool's output or the agent's account of itself — the filesystem is the witness.

  5. 05

    Audit

    Every decision lands as structured, append-only records — what was refused, what was redacted, what it cost — built to be queried, not merely tailed.

Read the full map, and the honest gaps

Let's build something

Building something people have to rely on?

I'm open to senior full-stack & ai engineering roles. If you're hiring or collaborating, I'd love to hear about it.