You will get a custom machine learning model tailored to your business needs
Project details
Looking for a reliable Machine Learning Engineer to build accurate, scalable, and production-ready AI solutions? I can help you develop custom machine learning models tailored to your business or research needs using Python, Scikit-learn, TensorFlow, Pandas, and NumPy. From data preprocessing and feature engineering to model training, evaluation, hyperparameter tuning, and deployment-ready code, I provide complete end-to-end solutions. I specialize in classification, regression, predictive analytics, deep learning, NLP, and data analysis. Every project includes clean, well-documented code, performance evaluation, and clear communication throughout the development process. Whether you're building a new ML solution or improving an existing model, I focus on delivering accurate results, high-quality code, and on-time delivery. Let's turn your data into intelligent insights and powerful machine learning solutions.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Google Sheets, Keras, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, PyTorch, R, scikit-learn, SciPy, Sonnet, SQL, Tableau, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$49
|
Standard
$129
|
Advanced
$249
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Revision
+$5
Additional Graph/Chart
(+ 1 Day)
+$3Frequently asked questions
About Ammad
AI Engineer | Python Developer | Machine Learning | Data Science | NLP
Islamabad, Pakistan - 5:12 am local time
I help businesses, startups, and entrepreneurs build AI-powered applications, automate repetitive workflows, analyze complex data, and develop custom machine learning solutions using Python. Whether you need a prediction model, NLP application, AI automation, data analysis, or a complete backend solution, I focus on delivering clean, efficient, and production ready code that solves real business problems.
My expertise includes Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), Data Analysis, SQL, TensorFlow, Scikit-learn, Pandas, FastAPI, and AI API integrations. I also have hands-on experience developing full-stack AI applications, collaborating in Agile Scrum teams, performing software testing, and delivering complete solutions from development to deployment.
During my internship at Folio3, I contributed to the development of an AI-powered web application by working on both frontend and backend development, software testing, debugging, and collaborating closely with cross-functional teams. I also completed a research internship at NUST SEECS, where I worked on deep learning projects and gained practical experience implementing machine learning techniques for real-world applications.
I can help you with:
• Python Automation & Scripting
• Machine Learning Models (Classification & Regression)
• Data Cleaning & Exploratory Data Analysis (EDA)
• Natural Language Processing (NLP)
• AI & OpenAI API Integrations
• Data Visualization & Reporting
• Custom AI Applications
Why work with me?
✔ Clean, maintainable, and well-documented code
✔ Fast communication and reliable support
✔ Attention to detail and on-time delivery
✔ Focus on quality, scalability, and client satisfaction
If you're looking for someone who is committed to understanding your requirements and delivering high-quality AI and Python solutions, I'd be happy to discuss your project. Let's build something great together.
Steps for completing your project
After purchasing the project, send requirements so Ammad can start the project.
Delivery time starts when Ammad receives requirements from you.
Ammad works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Project Requirements
Review the project goals, dataset, expected outcomes, and business requirements to define the best machine learning approach.
Data Preparation & Analysis
Clean, preprocess, and analyze the dataset, handle missing values, perform feature engineering, and prepare data for training.