AI Engineering Services
Most AI Demos Look Great.
Very Few Actually
Work in Production.
I build AI products and integrations that run under real load, handle real users, and generate real ROI — not just impressive demos. Starting from $1,500.
Who This Is For
Built for Businesses Ready to Make AI Actually Work For Them
If any of these sound familiar — you're exactly who this is built for.
You want to build a standalone AI product
You have an idea for an AI-powered tool — a generator, an automation system, an agent, or something entirely new. You need an engineer who can take it from concept to a production system that handles real users without breaking.
You want to add AI to what you already have
Your product exists and works — but you know AI could make it significantly more valuable. You need someone who can integrate LLMs cleanly into your existing codebase without rebuilding everything from scratch.
You've tried AI but it didn't deliver ROI
You've experimented with AI features — maybe a chatbot, maybe some automation — and it looked good in a demo but fell apart in production. You need someone who builds for scale and reliability, not just for the pitch deck.
What You Get
AI Systems Built to Perform, Not Just to Impress
Core Deliverables
- LLM integration — GPT-4o, Claude, Gemini connected to your product with prompt engineering and output validation
- RAG pipelines — retrieval-augmented generation so your AI answers from your data, not from hallucination
- AI agents & workflows — autonomous systems that complete multi-step tasks without human intervention
- Parallelized job processing — concurrent AI pipelines that handle hundreds of simultaneous requests without failure or timeout
- Cost-controlled architecture — token budgets, model routing, and caching so your API bill stays predictable
- Background job queues — long-running AI tasks processed asynchronously so your users never wait on a loading screen
- Full code handover — everything documented, everything yours. No lock-in. Ever.
Concurrent users handled simultaneously by an AI PDF generation system — multi-hour AI output per request, parallelized and crash-safe. Anonymous client, personal growth industry.
Time saved per content creation session for affiliate marketers — 5 AI tools automating post image generation, ad copy, and campaign content across multiple platforms. Anonymous client, affiliate marketing industry.
How It Works
From Your AI Idea to Production System
If any of these sound familiar — you're exactly who this is built for.
AI Scoping Call (Free · 30 min)
We define exactly what your AI system needs to do, what data it works with, which model fits your use case and budget, and what success looks like in production. Most engineers skip this conversation — I don't, because it determines everything that follows.
Architecture & Proposal (24–48 hours)
You receive a written technical proposal with the exact AI architecture, model choices, cost estimates, timeline, and fixed pricing. You know precisely what you're getting — and what your monthly API bill will look like — before work starts.
Build & Test Under Load (Sprints)
I build the system and test it under realistic load — not just happy-path demos. You get live access to a staging environment and progress updates every 2-3 days. If something doesn't perform as expected, it gets fixed before it becomes your problem.
Deploy & Handover (Production-ready)
Your AI system goes live on production infrastructure — monitored, documented, and fully handed over. GitHub repo, environment variables, API keys, architecture docs. You own everything and can run it independently from day one.
Common Questions
Everything You Need to Know Before We Talk
If any of these sound familiar — you're exactly who this is built for.
That depends entirely on what you're automating and what it currently costs you in time or money. On one project, AI content automation reduced a two-hour manual workflow to ten minutes — across a team, that compounds fast. On another, a parallelized AI pipeline replaced what would have been three full-time employees processing documents. I won't recommend AI for your business unless I genuinely believe the ROI is there. Book a free call and I'll tell you honestly whether it makes sense for your specific situation.
A demo works perfectly with one user, clean inputs, and no edge cases. A production AI system handles hundreds of concurrent users, malformed inputs, model timeouts, API rate limits, cost spikes, and unexpected failures — without breaking. I've built both. The difference is architecture, error handling, load testing, and the judgment to know what breaks at scale before it actually does.
$1,500 covers a focused AI integration or a single-feature AI tool — one model, one workflow, production-deployed and handed over. Standalone AI products, multi-agent systems, or complex pipelines are scoped and quoted individually after our discovery call. Every proposal is fixed price — no surprise invoices, no runaway API costs passed on to you.
GPT-4o and GPT-4o-mini via OpenAI, Claude Sonnet and Haiku via Anthropic, Gemini 2.5 Flash and Pro via Google. I choose the model based on your use case, latency requirements, and cost targets — not based on what's currently trending. I've reduced AI API costs from $203 to $14 per order on a production system by choosing the right model and architecture for the job.
Still have questions?
Book a Free 30-min Call →AI Is Only Expensive When It Doesn't Work.
Book a free 30-minute call. I'll tell you exactly what's possible, what it costs, and whether AI is the right move for your product right now — no pitch, no pressure.
✓ No pitch ✓ No commitment ✓ Free AI audit of your idea
