You will get integrated AI and LLM features into your web application
Project details
I build practical AI and LLM features that integrate cleanly into real applications and business workflows.
I can help with structured extraction, classification, AI-assisted drafting, RAG and knowledge retrieval, tool/function calling, multi-step workflows, and human-in-the-loop approval. Depending on the package, I can also connect the workflow to databases, APIs, and existing backend services.
My background is in production software engineering, so I approach AI features as part of a complete system: typed and validated outputs, error handling, retries, testing, maintainable code, and clear integration boundaries.
The result is an AI feature designed to be useful, reliable, and maintainable inside your existing Python/FastAPI application.
I can help with structured extraction, classification, AI-assisted drafting, RAG and knowledge retrieval, tool/function calling, multi-step workflows, and human-in-the-loop approval. Depending on the package, I can also connect the workflow to databases, APIs, and existing backend services.
My background is in production software engineering, so I approach AI features as part of a complete system: typed and validated outputs, error handling, retries, testing, maintainable code, and clear integration boundaries.
The result is an AI feature designed to be useful, reliable, and maintainable inside your existing Python/FastAPI application.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$350
|
Standard
$850
|
Advanced
$1,750
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 1 | 2 |
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 |
Optional add-ons
You can add these on the next page.
Additional external API integration
+$250
Additional AI use case
+$250
Additional knowledge source / RAG integration
+$300Frequently asked questions
About Nick
Senior Full-Stack Developer | Python, FastAPI, React, TypeScript
Berlin, Germany - 9:11 am local time
I help companies build new products, develop complex features, improve existing systems, and solve backend or performance problems. I’m comfortable owning work end to end — from API and database design through frontend implementation, testing, cloud deployment, and production debugging.
Some examples of my work include:
* Building a **resumable large-file upload system** for drone imagery using FastAPI, Redis, MongoDB, and cloud storage, including chunked uploads, session recovery, hashing, and duplicate detection.
* Developing an **in-house 3D web viewer** with Vue, TypeScript, Three.js, Python, and FastAPI to replace an external platform and give the product team greater control over customer-facing features.
* Building full-stack applications with **React, TypeScript, FastAPI, SQLAlchemy, PostgreSQL, and Google Cloud**, including authentication, document processing, analytics, invoicing, and API integrations.
* Working with **Docker, Kubernetes, Terraform, CI/CD, Redis, MongoDB, PostgreSQL, GCP, and cloud infrastructure** as part of production development.
I’m particularly useful when a project needs someone who can understand the product problem rather than work on one isolated layer of the stack.
I can help with:
* Python / FastAPI / Django backend development
* REST APIs and third-party integrations
* React / TypeScript full-stack development
* Existing application maintenance and modernization
* Performance and reliability improvements
* Cloud deployment and infrastructure
* AI/LLM integrations and workflow automation
I prefer practical, maintainable solutions and clear communication over unnecessary complexity.
Steps for completing your project
After purchasing the project, send requirements so Nick can start the project.
Delivery time starts when Nick receives requirements from you.
Nick works on your project following the steps below.
Revisions may occur after the delivery date.
Review the use case and scope
I review your application, AI use case, data sources, integrations, and expected outputs, then confirm the implementation scope and assumptions.
Design the AI workflow
I design the LLM flow, prompts, structured outputs, retrieval or tool usage, validation, and integration points required for the feature.