You will get a custom Python AI Agent to automate your operational workflows

Project details
Eliminating manual operational friction requires more than just calling an LLM—it requires robust, production-ready architecture. I specialize in bridging the gap between physical operations and modern technology. I will build a highly performant, custom AI agent utilizing Python to automate your backend tasks, synchronize data, and optimize processes.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Transformer Model, YOLOAI Applications
AI-Enhanced Classification, AIOps, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding, Object DetectionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorchAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$3,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 30 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 | - | - | - |
Optional add-ons
You can add these on the next page.
3-Day Rush Delivery
+$300
Add Second Data Source
(+ 1 Day)
+$250
1-Hour Setup Session
(+ 1 Day)
+$150Frequently asked questions
About B
AI Strategy Consultant & Enterprise Agentic Systems Architect
Whitestone, Canada - 6:55 pm local time
Most companies attempt to solve operational inefficiencies with fragile "AI wrappers" that break under real-world conditions. My focus is on engineering fault-tolerant multi-agent systems that integrate seamlessly into complex business environments.
My core architectural focus:
• AI Strategy & Implementation: Auditing operational workflows to identify high-ROI automation targets and deploying custom multi-agent swarms.
• Deterministic Agentic Workflows: Engineering backend architectures that provide optimistic UI, reliable data synchronization, and fully transparent "glass box" reasoning logs.
• Domain-Specific Computer Vision: Processing complex unstructured data (like construction blueprints or dense schematics) into clean, actionable, enterprise-ready data streams.
If your organization is struggling to move AI out of the prototype phase and into a reliable production environment, let's map out a deployment strategy.
Steps for completing your project
After purchasing the project, send requirements so B can start the project.
Delivery time starts when B receives requirements from you.
B works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Access
We review your specific bottleneck, and I confirm access to your sample data and any necessary API keys.
Core Development
I engineer the custom Python script and optimize the AI prompts to ensure perfect data extraction for your specific use case.