You will get Custom Machine Learning or Deep Learning Model for Your Business Problem
Project details
You'll get a custom machine learning or deep learning model built for your specific business problem trained and validated on your actual data, not a generic template.
Ideal for:
• Predictive analytics & forecasting
• Classification, regression & clustering
• Deep learning & neural networks
• Recommendation systems
• Anomaly & fraud detection
What you'll receive:
✔ Data preprocessing & cleaning
✔ Model selection, training & evaluation
✔ Hyperparameter tuning for improved accuracy
✔ Evaluation report (accuracy, precision/recall, error analysis)
✔ Clean, documented code your team can maintain
✔ Short walkthrough of how the model works
I start with a quick feasibility check on your data before training so you know upfront if it can support the outcome you want.
Recent example: built a classification model at 94% accuracy across 250,000+ real-world data points.
Tell me your business problem and what data you have, I'll tell you honestly what's achievable within your timeline and budget.
Ideal for:
• Predictive analytics & forecasting
• Classification, regression & clustering
• Deep learning & neural networks
• Recommendation systems
• Anomaly & fraud detection
What you'll receive:
✔ Data preprocessing & cleaning
✔ Model selection, training & evaluation
✔ Hyperparameter tuning for improved accuracy
✔ Evaluation report (accuracy, precision/recall, error analysis)
✔ Clean, documented code your team can maintain
✔ Short walkthrough of how the model works
I start with a quick feasibility check on your data before training so you know upfront if it can support the outcome you want.
Recent example: built a classification model at 94% accuracy across 250,000+ real-world data points.
Tell me your business problem and what data you have, I'll tell you honestly what's achievable within your timeline and budget.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$380
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Frequently asked questions
About Shakeel
Applied Machine Learning & Computer Vision Engineer
Faisalabad, Pakistan - 1:08 pm local time
I design and build production AI systems not notebooks, not proofs of concept. My work sits at the intersection of computer vision and agentic AI: systems that perceive an environment and then decide what to do about it, deployed as services your team can actually maintain.
Computer Vision & Real-Time Detection
Object detection, image classification, and image segmentation pipelines built on YOLO, OpenCV, PyTorch, and TensorFlow tuned to your data, tested against real-world conditions, not benchmark sets.
Agentic AI & Automation
Multi-agent systems built with LangChain and LangGraph, combining perception with decision-making. RAG applications for document and knowledge retrieval. Deployed as standing services via FastAPI and Python inference pipelines that run continuously, not scripts you have to babysit.
Production Engineering
Model deployment, clean architecture, and documentation as standard practice the difference between a system that works in a demo and one that survives contact with production data.
One recent system: YOLOv8-based real-time object detection at 92–94% mAP, feeding a multi-agent LangGraph decision pipeline with end-to-end response under 2.5 seconds. It's patent-pending, with the underlying research currently under review at IEEE Access. Separately, a classification model shipped at 94% accuracy across 250,000+ real-world data points evidence that the work holds up outside a controlled environment.
If you're evaluating whether your AI initiative is technically sound before you commit budget to it, that's the right first conversation to have. Tell me what you're building, and I'll give you a direct assessment of what's realistic.
Steps for completing your project
After purchasing the project, send requirements so Shakeel can start the project.
Delivery time starts when Shakeel receives requirements from you.
Shakeel works on your project following the steps below.
Revisions may occur after the delivery date.
Receive Requirements
Client provides project details, dataset, target variable, and expected outcomes.
Data Preprocessing
Clean, transform, and prepare the data for model training, including feature selection and handling missing values.