You will get I will build an AI automation workflow using Python, LLMs, and APIs
Project details
I will help you turn a repetitive research, reporting, data, or decision-support process into a practical AI automation
workflow.
This is not a vague chatbot package. The goal is to build a useful workflow that can collect inputs, call an LLM or API,
structure the result, and produce output your team can review or reuse.
Examples of what I can build:- AI-assisted research or monitoring workflow- LLM workflow that summarizes, classifies, or transforms text- Python automation that connects APIs, prompts, and structured output- FastAPI prototype for triggering an AI workflow- Internal tool prototype for data, reports, or operational tasks
I work best when the problem is clear enough to scope but still needs technical design. I can help define the workflow,
choose the simplest useful approach, build the first version, and document how to run or extend it.
workflow.
This is not a vague chatbot package. The goal is to build a useful workflow that can collect inputs, call an LLM or API,
structure the result, and produce output your team can review or reuse.
Examples of what I can build:- AI-assisted research or monitoring workflow- LLM workflow that summarizes, classifies, or transforms text- Python automation that connects APIs, prompts, and structured output- FastAPI prototype for triggering an AI workflow- Internal tool prototype for data, reports, or operational tasks
I work best when the problem is clear enough to scope but still needs technical design. I can help define the workflow,
choose the simplest useful approach, build the first version, and document how to run or extend it.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Keras, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Extended documentation
(+ 1 Day)
+$40
Extra API/source integration
(+ 1 Day)
+$50About Muhammad
AI Automation Engineer | LLMs, Python, Data Analytics
Kualakapuas, Indonesia - 6:37 am local time
If you have messy data, repetitive research, scattered spreadsheets, or an AI idea that is still vague, I can help turn it into a clear workflow: clean data, useful analysis, automation, dashboards, APIs, or an LLM-powered prototype your team can actually use.
My strongest work is at the intersection of:
- AI automation and LLM workflows
- Python, SQL, and data analysis
- machine learning and forecasting
- FastAPI backends, Docker, and deployable prototypes
- business-focused dashboards and insight reports
I have built portfolio projects around multi-agent financial intelligence, customer sentiment analysis, banking analytics, retail/business performance, stock forecasting, and end-to-end ML deployment. I care about the full path: understanding the business problem, choosing a practical technical approach, building clean outputs, and explaining the result in plain English.
A few things clients usually value about my work:
- I do not disappear into code; I explain tradeoffs and progress clearly.
- I can work from an unclear idea and turn it into a scoped technical plan.
- I write Python and analysis workflows that are readable, documented, and reusable.
- I think about the business decision behind the model or dashboard.
I can help with:
- AI automation prototypes
- LLM / chatbot workflows
- Python data analysis
- dashboard-ready insights
- forecasting and predictive modeling
- API/backend support for AI products
- data cleaning, ETL, and reporting automation
If you need someone who can connect business context, data, and practical engineering, send me the problem you are trying to solve and I will suggest the simplest useful path.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements
I review your workflow, input files, expected output, API/docs, and constraints so the build scope is clear before development starts.
Design Workflow
I map the automation flow, choose the simplest technical approach, and confirm how inputs, LLM/API calls, and outputs will connect.