You will get Serverless AWS architecture for AI-powered B2B document processing SaaS
Project details
You will get a production-grade LLM document extraction pipeline that turns messy PDFs, scans, and emails into clean structured data your downstream systems can ingest. I'm a CTO with 25 years of systems experience who just shipped this exact architecture from zero to production — serverless AWS, multi-provider LLM extraction, audit trail, and ERP export — so you build on proven patterns, not a notebook demo. Before any full-build commitment, you see real accuracy numbers on your real documents.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
Image Processing, Natural Language Understanding, Text RecognitionAI Models
GPT-3, GPT-4What's included
| Service Tiers |
Starter
$2,500
|
Standard
$12,000
|
Advanced
$30,000
|
|---|---|---|---|
| Delivery Time | 14 days | 45 days | 70 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 Ashton
Full-Stack Developer | Web & Mobile | Python, Node.js, React
Denver, United States - 4:17 pm local time
Former Lead Cloud Engineer at Panasonic. I specialize in AI integration, 3D visualization, and enterprise cloud systems. MBA in Strategy from the University of Denver.
AI & Intelligent Systems
I integrate generative AI workflows, LLM agents, and custom automation using Python and Node.js to add intelligence to applications.
3D & Three.js Development
I build interactive 3D environments in the browser using Three.js, WebGL, and React Three Fiber—data visualizations, product models, and virtual environments optimized for performance across devices.
Full-Stack Development (Python / Node / React)
I build high-concurrency microservices in Python (FastAPI/Flask), real-time backends in Node.js, and complex React frontends. My code follows OOP, TDD, and SOLID principles.
Cloud & AWS Architecture
At Panasonic, I architected cloud-native systems using AWS (Fargate, RDS, Lambda, S3). Expert in Terraform, Kubernetes, and Docker. Previously reduced operational overhead by 30% through self-healing, auto-scaling infrastructure.
Technical Toolkit
Languages: Python, JavaScript/TypeScript, Go, SQL
Frameworks: React.js, Node.js, Three.js, FastAPI, Flask
Cloud/DevOps: AWS, Terraform, Kubernetes, Docker, GitHub Actions
Databases: PostgreSQL, MySQL, Redis, NoSQL
Steps for completing your project
After purchasing the project, send requirements so Ashton can start the project.
Delivery time starts when Ashton receives requirements from you.
Ashton works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & sample analysis
Kickoff call. Review your sample documents, target schema, and existing workflow. Output: a written scope summary and any clarifying questions before design begins.
Architecture proposal
Written architecture doc: AWS services, data flow, LLM provider choice, audit/review model, and cost estimate at your volume. You approve before any code is written.