You will get I will build a custom machine learning model for your business
Project details
I am a Machine Learning Engineer with 2+ years of experience building end-to-end AI systems, from research to production deployment. I specialize in deep learning, MLOps, and scalable cloud-based machine learning solutions using Python, TensorFlow, PyTorch, Docker, Kubernetes, and AWS. My expertise includes computer vision systems (real-time face analysis, age and gender prediction), predictive modeling (churn prediction, pricing, forecasting), and advanced research in quantum machine learning and hybrid classical-quantum models. I have built production-grade ML pipelines with CI/CD automation, MLflow tracking, and real-time monitoring systems, reducing deployment time and improving scalability. I focus on delivering robust, optimized, and production-ready solutions rather than just experimental models. My projects include real-time inference systems with low-latency performance, enterprise-level prediction platforms, and research-driven innovations applied to real-world problems. I bridge the gap between academic research and industrial AI systems, ensuring solutions are accurate, scalable, and deployment-ready
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, deeplearn.js, GitHub Copilot, Keras, Microsoft Excel, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Additional Model Variation
(+ 2 Days)
+$10About Sana
Machine Learning Engineer | MLOps | AI Systems | AWS | TensorFlow | Py
Rawalpindi, Pakistan - 7:36 pm local time
I specialize in transforming research-level ML models into real-world production systems that are fast, reliable, and business-ready.
Currently, I work as a Remote Machine Learning Engineer at an AI startup, where I design and deploy ML infrastructure serving enterprise clients with high availability and performance requirements.
I also have a strong research background from my MS in Machine Learning & Quantum Computing at LUMS University, where I worked on hybrid quantum-classical models and published research in international ML conferences
Steps for completing your project
After purchasing the project, send requirements so Sana can start the project.
Delivery time starts when Sana receives requirements from you.
Sana works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Collection & Problem Understanding
Client shares project requirements, dataset (if available), and business objectives. I analyze the problem, define the ML approach, and confirm technical feasibility.
Data Analysis & Preparation
Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis to ensure high-quality inputs for model training.