You will get Custom Machine Learning Model for Prediction & Analytics
Project details
You will get a custom, production-ready machine learning solution designed specifically for your data and business goals. I don’t deliver generic models — I analyze your problem, choose the right algorithms, and build an ML system that is accurate, explainable, and scalable.
With strong experience in machine learning, data science, and AI system design, I focus on turning raw data into actionable insights. My workflow covers data understanding, feature engineering, model training, evaluation, and clear result reporting so you can confidently use the model in real-world scenarios.
Whether you need a quick feasibility study, a fully trained ML model, or a production-ready pipeline, this project is structured in clear tiers so you only pay for what you need. You’ll receive clean code, performance metrics, visualizations, and documentation aligned with industry best practices.
This project is ideal for startups, businesses, and researchers looking for reliable, well-engineered machine learning solutions that actually deliver value — not just experiments.
With strong experience in machine learning, data science, and AI system design, I focus on turning raw data into actionable insights. My workflow covers data understanding, feature engineering, model training, evaluation, and clear result reporting so you can confidently use the model in real-world scenarios.
Whether you need a quick feasibility study, a fully trained ML model, or a production-ready pipeline, this project is structured in clear tiers so you only pay for what you need. You’ll receive clean code, performance metrics, visualizations, and documentation aligned with industry best practices.
This project is ideal for startups, businesses, and researchers looking for reliable, well-engineered machine learning solutions that actually deliver value — not just experiments.
Machine Learning Tools
Amazon SageMaker, Keras, Kubeflow, MLflow, NumPy, Open Neural Network Exchange, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$180
|
Standard
$450
|
Advanced
$949
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 3 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Model Optimization & Tuning
(+ 2 Days)
+$150
Explainability Report (SHAP/LIME)
(+ 2 Days)
+$120
Deployment Ready Package
(+ 3 Days)
+$250Frequently asked questions
About Muhammad
AI & ML Engineer | Production-Ready ML Systems | Deep Learning
Lahore, Pakistan - 5:10 am local time
As an experienced AI / Machine Learning Engineer, I specialize in building end-to-end intelligent systems; from data engineering and model development to deployment, monitoring, and optimization. I work with startups and enterprises to design scalable, explainable, and reliable AI solutions, not just experiments or research prototypes.
🧠 Core Expertise
🤖 Machine Learning & AI Development
• Custom ML / Deep Learning model development and optimization
• Predictive analytics and demand forecasting systems
• Risk modeling and intelligent optimization algorithms
• Production-grade AI system architecture and ML pipelines
📊 Data Engineering & Science
• Advanced feature engineering and data preprocessing
• Statistical analysis and exploratory data analysis (EDA)
• Time-series forecasting and anomaly detection
• A/B testing frameworks and experimentation design
🚀 Deployment, MLOps & Infrastructure
• AI-powered REST APIs and microservices
• Model deployment using Docker and Kubernetes
• Cloud infrastructure: AWS, GCP, Azure
• MLOps: monitoring, logging, explainability, and lifecycle management
• Inference optimization and performance tuning
🛠️ Technology Stack
Languages & Frameworks
Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow, Keras
Data & Storage
PostgreSQL, MySQL, Redis, Feature Stores, Data Warehousing
APIs & Services
FastAPI, Flask, RESTful APIs
DevOps & Cloud
Docker, Kubernetes, CI/CD pipelines, AWS, GCP, Azure, Model Versioning
ML Tooling
Jupyter, MLflow, Weights & Biases, Hyperparameter Tuning, AutoML
✅ My Approach
• ✅ Problem-first thinking — business goals before models
• ✅ Explainable AI — interpretable systems stakeholders trust
• ✅ Clean architecture — scalable, maintainable code
• ✅ Production mindset — reliability, performance, long-term stability
• ✅ Clear communication — regular updates and collaboration
🔬 Advanced Research & Niche Expertise
● Hybrid Quantum-AI systems, QUBO optimization models, quantum-inspired algorithms, and applied research in quantum machine learning for complex optimization problems.
● Quantum Machine Learning (QML): Practical algorithm development using Variational Quantum Circuits (VQC), VQE, QLSTM and QAOA via Pennylane or Qiskit for optimization and simulation problems.
📩 Let’s discuss how I can help you build AI systems that create a real competitive advantage.
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.
Data Review & Problem Understanding
I analyze the dataset, understand the business objective, validate data quality, and finalize the ML approach and evaluation metrics before modeling.
Feature Engineering & Model Selection
I prepare features, handle missing values, and select suitable machine learning algorithms based on the data and problem type.