Internal Developer Platform (IDP)
From-scratch paved road: scaffold → build → deploy → run, self-service across four languages.
Forward-Deployed Engineering · Enterprise AI Delivery · Platform · Observability · IDP
I spend my time inside other companies' engineering orgs, making AI actually work in their production environment. Three years embedded with a single enterprise customer — an agent harness now used by ~500 of their developers — on a platform, observability and IDP spine. 10+ years across enterprise banking, e-commerce, and CDN-scale engineering. Remote-first.
● About
Forward-deployed platform engineer, 10+ years — the last three embedded full-time inside a single enterprise customer's engineering org, in a regulated environment, taking AI from pilot to production and growing the engagement through four scope expansions. Founding engineer on two production IDPs. I run the whole arc — discovery with client stakeholders, evaluate and select core technology, form the cross-functional team, ship to production, and drive org-wide adoption. Work spans enterprise banking, social commerce, and CDN-scale developer tooling — same craft: paved roads, self-service, and owned platforms at scale.
● Experience
Founding platform engineer, embedded with a single enterprise client's engineering org across a three-year engagement — built their platform in four phases, each expanding scope and turning an internal capability into a self-service product.
● Selected Work
From-scratch paved road: scaffold → build → deploy → run, self-service across four languages.
Multi-tenant logs at 100 TB/day + a fully owned logs/metrics/traces stack replacing SaaS.
Owned end-to-end; +20% on-call efficiency, −30% response time, 100K+ alerts/mo at sub-5s.
● Open source
An open-source platform that abstracts operations, not just servers. Push code to a branch; the Brain infers every infrastructure dependency, generates the Dockerfile and Kubernetes manifests, provisions databases and caches, and delivers a running app at a live URL — no YAML written by hand. Built on Pulumi-provisioned clusters with Argo CD, Traefik, and cert-manager, with logs, metrics, and traces native to the platform from the first deploy.
Provable governance for AI coding agents — a Rust binary that enforces rules through hooks and
fails closed, rather than suggesting them in a prompt. Runs a governed multi-agent SDLC pipeline
across eight stations (Analyst → Architect → Planner → Coder → QA → Demo-er → Releaser → Reviewer)
with delta-tracked handoffs. Every verdict is attested as sha256(prompt‖diff) and chained
into a tamper-evident append-only ledger, and each session emits an honest cost receipt.
Dogfooded, not demoed: the workflow has driven 260+ governed sessions across 8 projects since March 2026 — including the platform work above.
Self-service data infrastructure as Crossplane compositions — PostgreSQL and Redis claimed by developers as first-class resources, with provider-helm and provider-sql wired underneath, plus a small CLI to drive it. The paved-road pattern behind self-service databases on an IDP.
Kreeda is a multi-tenant operations platform where agents run the day-to-day and the founder acts as the board. inini.in is tenant #1 — an agent-operated desk publishing one approved piece a day, live today. Multi-tenancy, approval gates, and scheduled autonomous work, running against real traffic rather than a demo.
● Writing
An engineer's guide to thinking like the machine — intuition-first, no calculus wall.
An AI SaaS factory for spinning up production micro-SaaS, fast.
Notes on AI engineering, developer productivity, and platform strategy.