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You will get a production-ready machine learning model and deployment

Let a pro handle the details

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

Let a pro handle the details

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

Project details

YOU HAVE DATA. YOU NEED A MODEL THAT ACTUALLY WORKS.

Most machine learning projects fail because people skip the hard parts: proper data preparation, feature engineering, and rigorous testing. I don't skip. I do the whole thing right.

From your raw, messy data to a model that performs well and deploysthat's what I deliver.

WHAT YOU GET:
Complete data cleaning & preparation
Exploratory data analysis
Feature engineering
Model training & hyperparameter tuning
Proper evaluation with cross-validation
Clean, documented Python code
Trained model ready to use
Detailed performance report

TOOLS: Python, Pandas, NumPy, Scikit-learn

PROBLEMS I SOLVE:
Customer churn prediction
Sales forecasting
Price prediction
Loan/credit classification
Demand forecasting
Any regression or classification problem

MESSAGE ME BEFORE ORDERING with your problem details. I'll confirm the right package for your needs.
Machine Learning Tools
Azure Machine Learning, Google Sheets, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, XGBoost
What's included
Service Tiers Starter
$89
Standard
$149
Advanced
$249
Delivery Time 7 days 10 days 14 days
Number of Revisions
25Unlimited
Number of Model Variations
135
Number of Scenarios
123
Number of Graphs/Charts
358
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$14 - $39
Additional Revision
+$10
Additional Model Variation (+ 2 Days)
+$15

Frequently asked questions

Md. Mehadi H.Status: Offline
Md. Mehadi H.Status: Offline
AI Chatbot & Agent Developer | RAG, LangChain, FastAPI, OpenAI API
Sirajganj, Bangladesh - 8:29 pm local time
AI Chatbot & Agent Developer focused on building intelligent, production-ready AI applications with Python, FastAPI, LangChain, RAG, and OpenAI.

I help startups, founders, and businesses build AI-powered solutions that go beyond simple chatbots. My focus is on developing AI chatbots, AI agents, RAG-based applications, custom AI assistants, and scalable backend APIs that integrate with modern LLMs and business workflows.

My technical stack includes Python, FastAPI, LangChain, LangGraph, OpenAI, LlamaIndex, ChromaDB, Pinecone, Weaviate, SQL, MongoDB, Docker, Git, and REST APIs. I also work with Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI workflow automation, and Model Context Protocol (MCP) for building reliable AI systems.

Although I am at the beginning of my freelance journey, I have invested significant time building personal and portfolio projects to strengthen my practical skills. Every project focuses on writing clean, maintainable code, creating scalable architectures, and solving real business problems with AI.

I can help you with:
• AI Chatbots powered by OpenAI and RAG
• AI Agents using LangGraph and modern agent frameworks
• FastAPI backend development for AI applications
• OpenAI API integration and custom AI assistants
• LangChain and LlamaIndex applications
• Vector database integration (ChromaDB, Pinecone, Weaviate)
• AI workflow automation and backend APIs

I value clear communication, honest collaboration, and long-term client relationships. If you're looking for someone who is committed to delivering well-structured AI solutions and continuously improving with every project, I'd be happy to discuss how I can help.

Steps for completing your project

After purchasing the project, send requirements so Md. Mehadi can start the project.

Delivery time starts when Md. Mehadi receives requirements from you.

Md. Mehadi works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements & Data Review

Review your dataset, business problem, target variable, and project goals. Identify data quality issues and define the best machine learning approach.

Data Preparation & Feature Engineering

Clean and preprocess the data, handle missing values, perform feature engineering, and prepare the dataset for model training.

Review the work, release payment, and leave feedback to Md. Mehadi.