You will get a documented Python or AI workflow automation for your business

Project details
You will receive a practical, documented Python or AI automation that removes repetitive work from your business. I can connect APIs, spreadsheets, websites, databases, email, files, and AI services; automate data collection and transformation; generate reports or notifications; and package the workflow so it is clear to run and maintain.
I start by mapping the trigger, inputs, decisions, outputs, and failure cases. I then build the smallest reliable solution for your selected package, test it with representative samples, and deliver the working automation with setup instructions and a handoff walkthrough. When appropriate, I include logging, retries, validation, and human approval checkpoints.
The result is tailored to your process rather than a generic template. Credentials and paid third-party services remain in your control, and I will never ask you to paste passwords or API keys into Upwork messages. Complex systems, restricted sites, and ongoing hosting can be scoped as add-ons or follow-up work.
I start by mapping the trigger, inputs, decisions, outputs, and failure cases. I then build the smallest reliable solution for your selected package, test it with representative samples, and deliver the working automation with setup instructions and a handoff walkthrough. When appropriate, I include logging, retries, validation, and human approval checkpoints.
The result is tailored to your process rather than a generic template. Credentials and paid third-party services remain in your control, and I will never ask you to paste passwords or API keys into Upwork messages. Complex systems, restricted sites, and ongoing hosting can be scoped as add-ons or follow-up work.
AI Algorithms
Convolutional Neural Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Regression Analysis, Self-Organizing Map, Variational Autoencoder, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Enhanced Classification, AIOps, Anomaly Detection, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
AlphaCode, BERT, BLOOM, ChatGPT, GPT-4, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 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.
Fast Delivery
+$75 - $225
Additional Revision
+$50
Additional app or API
(+ 2 Days)
+$125
Additional workflow step
(+ 1 Day)
+$50
Extended documentation
(+ 1 Day)
+$95Frequently asked questions
About Oliver
AI Apps & Integration | Scripting & Automation Skills, Gen AI Tools
Louisville, United States - 7:00 pm local time
Steps for completing your project
After purchasing the project, send requirements so Oliver can start the project.
Delivery time starts when Oliver receives requirements from you.
Oliver works on your project following the steps below.
Revisions may occur after the delivery date.
Map the workflow and confirm scope
I review your inputs, trigger, current steps, desired outputs, constraints, and acceptance criteria, then confirm the exact automation included in your package.
Design the automation and data flow
I choose the appropriate Python, API, AI, or no-code components and define validation, approval, logging, and failure-handling behavior before implementation.















