You will get an AI OCR tool that extracts data from your invoices & documents
Rising Talent
Project details
Right now, someone on your team is retyping documents by hand. Invoices, receipts, forms, IDs, contracts, PDFs — read one, type it into your system, repeat. It's slow, it's where errors creep in, and it gets worse as you grow.
I build a custom AI tool that reads your documents and pulls the data out for you — into clean, structured output: a spreadsheet, JSON, or straight into your app or database. The manual typing just stops.
I'm not learning this on your project. I've already shipped exactly this in production — a live app on the Apple App Store and Google Play where a user snaps a photo of a menu and AI turns it into a structured, editable catalog in seconds. I'll build the same extraction engine, tuned to your documents and your fields.
You get a working build to your spec — or you don't pay. I'll prove it on your real documents before you commit. Send me 2-3 sample documents and I'll tell you exactly what I can pull out — free, before you order.
I build a custom AI tool that reads your documents and pulls the data out for you — into clean, structured output: a spreadsheet, JSON, or straight into your app or database. The manual typing just stops.
I'm not learning this on your project. I've already shipped exactly this in production — a live app on the Apple App Store and Google Play where a user snaps a photo of a menu and AI turns it into a structured, editable catalog in seconds. I'll build the same extraction engine, tuned to your documents and your fields.
You get a working build to your spec — or you don't pay. I'll prove it on your real documents before you commit. Send me 2-3 sample documents and I'll tell you exactly what I can pull out — free, before you order.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
Image Analysis, Image Processing, Image Recognition, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Models
LaMDAWhat's included
| Service Tiers |
Starter
$600
|
Standard
$2,200
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
Frequently asked questions
About Kevin
AI Automation & Agent Builder | Full-Stack Apps That Ship Live
Santa Ana, United States - 8:06 pm local time
Most freelancers prove one thing. Here's what I've actually shipped:
- A live subscription app on the Apple App Store, Google Play, and the web, processing real Stripe payments today. Solo - architecture, payments, native mobile release, and the growth funnel around it. The hardest, most-faked milestone in software, done alone.
- A production autonomous AI/ML decision platform that has run unattended for over six months and counting: ~35 analysis modules across 7 stages, a dual-engine consensus design that hard-blocks when its rules engine and ML ensemble disagree, an LLM review gate that fails CLOSED on any timeout or error (never auto-approves), and a daily model retrain with automatic rollback on regression. Real safety engineering, not a demo.
- A persistent-memory AI assistant system I run in daily production across multiple businesses - hybrid vector + full-text + knowledge-graph retrieval, automatic capture, self-healing, and backups. It compounds context instead of forgetting it, which is exactly where most stateless RAG bots fall down.
- A live paid-acquisition engine delivering qualified leads at around $15-20 each, well under the typical market rate. I don't just build the product - I bring it customers and prove the cost per result with real numbers.
What ties it together: I can build the thing AND get it used. AI systems and full-stack apps are the engine; automation and growth are how the engine produces results.
Background: B.A. Accounting (Cal State Fullerton) and a finance career before this, so I build like an owner - unit economics, margins, and ROI baked into every decision, which matters when there's real money on the line (payments, ad budgets, deployments that have to be right).
If you need one builder who can own a hard system end to end - AI, app, automation, or the growth around it - and actually finish, let's talk. Tell me the outcome you need and I'll tell you exactly how I'd build it.
Steps for completing your project
After purchasing the project, send requirements so Kevin can start the project.
Delivery time starts when Kevin receives requirements from you.
Kevin works on your project following the steps below.
Revisions may occur after the delivery date.
Send samples & define fields
You send a handful of real documents and tell me exactly which fields you need pulled out of each one.
I build & tune the extraction
I build the extraction on your real documents and tune it to your exact fields, formats, and edge cases.