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Technical audit and architecture review before you commit the budget
📍 Remote · · 🕒 1 week ago
50 $ Per hour
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Service overview
An outside read on your system, written so both your engineers and your finance people can act on it.
WHEN THIS HELPS
- You inherited a codebase and need to know what you actually own
- A rewrite is being proposed and you want a second opinion first
- Costs, incidents or latency are climbing and nobody can point at the reason
- You are about to hire a team and want the roadmap and architecture checked
- An LLM feature works in a demo and nobody can say whether it is ready
WHAT YOU GET
- A written report: architecture, data flow, failure modes, and the risks ranked by what they will cost you
- A prioritised backlog: what to fix this month, this quarter, and what to deliberately leave alone
- Cost and reliability findings with concrete numbers where the data exists
- A call to walk through it, and follow-up questions answered afterwards
SCOPE
Typically a few days of reading code, infrastructure and metrics, plus interviews with your team. Billed hourly with the estimate agreed up front, so you know the ceiling before I start.
BACKGROUND
10+ years across backend, data platforms and LLM infrastructure, most of it spent on systems that were already in production when I arrived.
WHEN THIS HELPS
- You inherited a codebase and need to know what you actually own
- A rewrite is being proposed and you want a second opinion first
- Costs, incidents or latency are climbing and nobody can point at the reason
- You are about to hire a team and want the roadmap and architecture checked
- An LLM feature works in a demo and nobody can say whether it is ready
WHAT YOU GET
- A written report: architecture, data flow, failure modes, and the risks ranked by what they will cost you
- A prioritised backlog: what to fix this month, this quarter, and what to deliberately leave alone
- Cost and reliability findings with concrete numbers where the data exists
- A call to walk through it, and follow-up questions answered afterwards
SCOPE
Typically a few days of reading code, infrastructure and metrics, plus interviews with your team. Billed hourly with the estimate agreed up front, so you know the ceiling before I start.
BACKGROUND
10+ years across backend, data platforms and LLM infrastructure, most of it spent on systems that were already in production when I arrived.
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