You will get LLM API Integration Starter


Project details
You'll get a working LLM API integration that connects your application to OpenAI, Claude, or an open-source model -- with production-ready error handling, rate limiting, and documentation. I bring hands-on ML engineering experience, a CVPR 2023 publication, and a track record of delivering PoCs to enterprise customers. Every integration includes a walkthrough so your team understands exactly how it works. The work I deliver is built to run in production, not just a proof of concept.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,500
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 14 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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 Cameron
AI Integration & Automation Engineer
Miami, United States - 8:26 pm local time
What I deliver:
- Custom AI integrations connecting your apps, APIs, and data to LLMs (OpenAI, Claude, etc.) via Python
- Agent workflow development and LLM pipeline implementation
- Workflow automations that eliminate repetitive manual processes using LLMs and APIs
- Internal tools and dashboards powered by AI, built end-to-end from architecture to deployment
My background blends hands-on engineering with customer-facing delivery. I've built production ML systems in Python, contributed to the Positron open-source IDE, and conducted 100+ technical discovery sessions and product demos for enterprise data science teams. I hold a CVPR 2023 publication in computer vision and AWS AI Practitioner certification.
How I work:
1. Discovery -- we pin down exactly what you need, what systems you use, and what "done" looks like
2. Build -- I design, implement, and test the solution, keeping you updated throughout
3. Hand-off -- you get working code, documentation, and a walkthrough so your team can maintain it
Whether you need a one-off integration, an end-to-end automation build, or an ongoing technical partner for your AI roadmap, I'm happy to start with a conversation. Send me a message with what you're trying to solve.
Steps for completing your project
After purchasing the project, send requirements so Cameron can start the project.
Delivery time starts when Cameron receives requirements from you.
Cameron works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery Call
We review your requirements, APIs, and architecture (1-2 days)
Integration Design
I deliver a short technical plan showing the architecture, data flow, and error handling approach (2-3 days)