You will get Custom AI Agent Workflow for Your Business
Project details
You'll get a production-ready AI agent workflow that connects LLMs to your systems and tools. I build agents that actually work -- not demos, not brittle prototypes. Each workflow includes prompt engineering, error handling, and a live walkthrough so your team understands how to maintain it.
My background blends hands-on ML 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 for enterprise data science teams. I hold a CVPR 2023 publication in computer vision and AWS AI Practitioner certification.
Whether you need a simple single-step agent or multi-agent orchestration across APIs and databases, I deliver working code, documentation, and knowledge transfer -- not black boxes.
My background blends hands-on ML 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 for enterprise data science teams. I hold a CVPR 2023 publication in computer vision and AWS AI Practitioner certification.
Whether you need a simple single-step agent or multi-agent orchestration across APIs and databases, I deliver working code, documentation, and knowledge transfer -- not black boxes.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$4,000
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 28 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 - 6:42 am 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 & Architecture
We map your workflow, tools, and success criteria. I deliver a short technical plan showing the agent architecture. (2-3 days)
Core Agent Build
I implement the agent with prompt engineering, API integrations, and tool connections. You get a working prototype to test. (5-10 days depending on tier)