You will get AI business automation built with Python and machine learning

Mohammed N.Status: Offline
Mohammed N.

Let a pro handle the details

Buy Machine Learning services from Mohammed, priced and ready to go.
Mohammed N.Status: Offline
Mohammed N.

Let a pro handle the details

Buy Machine Learning services from Mohammed, priced and ready to go.

Project details

Stop wasting time on manual processes. I build intelligent automation systems using Python and machine learning that work 24/7, reduce errors, and provide actionable insights through beautiful dashboards. What sets me apart? Custom solutions (not cookie-cutter code), transparent communication, and a commitment to delivering automation that genuinely improves your bottom line.
Machine Learning Tools
ChatGPT, Keras, NumPy, pandas, Python, PyTorch, scikit-learn, SciPy, SQL, TensorFlow
What's included
Service Tiers Starter
$100
Standard
$300
Advanced
$1,200
Delivery Time 4 days 6 days 10 days
Number of Revisions
24Unlimited
Number of Model Variations
238
Number of Scenarios
3510
Number of Graphs/Charts
5819
Model Validation/Testing
-
Model Documentation
-
Data Source Connectivity
-
-
Source Code
-
Mohammed N.Status: Offline

About Mohammed

Mohammed N.Status: Offline
AI/ML Engineer | Agents, MCP Servers & ML Deployment
Benslimane, Morocco - 11:27 am local time
I'm Mohamed, an AI engineer who builds the infrastructure that gets ML and AI systems into production. Trained models that never ship, agents that only run on your laptop, integrations held together by scripts — that's the gap I close.

What I build
• Agent infrastructure — tool-calling agents, orchestration, state and memory, error recovery, cost and token controls
• MCP servers — custom Model Context Protocol servers connecting Claude and other LLMs to your APIs, databases, and internal tools
• Model deployment — FastAPI services, Docker containers, batch and real-time inference endpoints
• MLOps — CI/CD pipelines, model versioning, monitoring, automated retraining
• Model training — scikit-learn, XGBoost, PyTorch, TensorFlow, fine-tuning

How I work
I confirm scope and interfaces with you in writing before writing code, and I verify behavior matches spec before delivery. You get full source code, documentation, and a walkthrough — nothing locked behind my involvement.

I'm early on Upwork and pricing accordingly. You get more attention per project than from someone juggling ten contracts, and my work is public on GitHub so you can judge the code before hiring rather than after.

Tell me what you're trying to build and I'll tell you honestly whether I'm the right fit.

Steps for completing your project

After purchasing the project, send requirements so Mohammed can start the project.

Delivery time starts when Mohammed receives requirements from you.

Mohammed works on your project following the steps below.

Revisions may occur after the delivery date.

Discovery & Requirement Analysis

Review your business processes, understand pain points, and define automation objectives. Clarify data sources and expected outcomes.

Data Collection & Preparation

Gather and clean your data, handle missing values, and prepare datasets for machine learning model training.

Review the work, release payment, and leave feedback to Mohammed.