AI consulting, platform engineering consulting & software consulting services
Hands-on help for startups: production systems, cloud infra, and LLM-backed products — not generic strategy decks.
I work as a fractional platform engineer and AI infrastructure consultant for startups that need senior help with Kubernetes, GCP, Azure, DevOps, GitOps, and production LLM pipelines — without committing to a full-time hire yet. Background: Gojek internal PaaS, sole founding engineer at Likeo (acquired), multi-cloud migrations and high-throughput LLM systems. More on my main portfolio.
Who this is for
- Seed–Series B product companies shipping software in the cloud.
- Teams stuck on infra, migrations, or an LLM pipeline that is fragile or too slow.
- Founders who want an interim owner for platform or automation, not slide decks.
Software consulting services: platform engineering, DevOps & LLM work
- Cloud & platform — multi-region or multi-cloud moves, Kubernetes / GitOps, CI/CD, observability, cost and reliability hardening.
- LLM & automation — production pipelines (evals, throughput, guardrails), workflow tools, integrations with your stack.
- Internal products — developer platforms, admin tooling, data/event pipelines your team relies on daily.
How engagements work
- Intro call — scope, constraints, success criteria (book a free intro call on Cal.com).
- Short proposal — milestones, time window, and commercial terms.
- Execution — async updates and weekly sync; you keep ownership of repos and accounts.
Typical windows are a few weeks to a few months, depending on depth. I am also open to selective founding engineer conversations if the fit is mutual — this page is for explicit consulting and fractional work.
Related writing
Longer context on how I think about platform work, AI in production, and infra—before you book an intro.
- AI Infra — Lightweight AI pipelines on schedules—GitHub Actions as the runtime instead of extra servers.
- Multi-cloud API keys — Centralizing third-party secrets across dozens of services without rewiring every repository.
- Steer the LLM — Product and org intent guiding LLM behavior—when humans steer the model vs. the reverse.
- Learning Kubernetes the hard way — Hands-on cluster notes, constraints, and gotchas from working through real setups.
Get in touch
Book a free intro call, or email a short note (problem, timeline, budget band if you have one). I reply within a few business days.