# Ship AI and automation that actually works in production. {{< lead >}} Get LLMs, retrieval, and automated workflows running in production — scoped, built, and handed off to your team in weeks, not quarters. Pragmatic software engineering from a senior consultant, not a research project. For small and mid-sized teams that want to ship. {{< /lead >}}
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## What I help with

AI Integration

Ship LLM features that hold up in production — retrieval, agents, and evaluation pipelines wired into the systems your team already runs.

Workflow Automation

Replace manual, error-prone handoffs with reliable automations across your stack — internal tools, CRMs, data pipes, and back-office processes.

Custom Software

Production-grade web and backend systems built by an engineer who's shipped them for a decade — not a prototyping shop that hands off half-finished code.

## Why teams hire me
10+ yrs
Software engineering experience across startups and production systems.
Full-stack
Frontend, backend, infra, and AI tooling — one person who owns the whole path to production.
No hand-waving
Clear scope, honest trade-offs, and working software at the end of every engagement.
"[placeholder] — real client quote lands here once we have one."
## How it works
  1. 01 · Discover
    Scope the problem, map the current workflow, and identify the highest-leverage place to apply AI or automation.
  2. 02 · Design
    Propose an architecture, pick the right tools, and agree on success criteria before writing production code.
  3. 03 · Build
    Implement in short iterations with working demos — no black-box sprints, no surprises at the end.
  4. 04 · Handoff
    Document, train your team, and leave you with code you own and can maintain — not a vendor dependency.
## Ready to scope a project?

A 30-minute intro call is free. If there's a fit, I'll send a short proposal within a few days. If not, you'll leave with a clearer picture of the problem — at no cost.

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## Structured summary Appended to the Markdown mirror only — HTML render uses the styled cards above. ### Offerings | Service | What it delivers | |---|---| | AI Integration | LLM features — retrieval, agents, evaluation pipelines — wired into the systems your team already runs. | | Workflow Automation | Reliable automations that replace manual, error-prone handoffs across internal tools, CRMs, data pipes, and back-office processes. | | Custom Software | Production-grade web and backend systems from an engineer who ships them for a decade — not half-finished prototypes. | ### Engagement model | Step | Phase | What happens | |---|---|---| | 01 | Discover | Scope the problem, map the current workflow, identify the highest-leverage place to apply AI or automation. | | 02 | Design | Propose architecture, pick the right tools, agree on success criteria before writing production code. | | 03 | Build | Implement in short iterations with working demos — no black-box sprints, no surprises at the end. | | 04 | Handoff | Document, train your team, leave you with code you own and can maintain — not a vendor dependency. | ### Credibility signals | Signal | Detail | |---|---| | 10+ years | Software engineering experience across startups and production systems. | | Full-stack | Frontend, backend, infrastructure, AI tooling — one person owning the whole path to production. | | No hand-waving | Clear scope, honest trade-offs, working software at the end of every engagement. |