You will get Expert in Image Processing, OpenCV & Neural Network Optimization
Project details
With 2 years of professional experience and a track record of over 20 successful deployments, I bridge the gap between advanced AI research and production-ready applications. I specialize in developing high-performance vision systems that turn complex visual data into actionable business intelligence.
My Core Expertise:
Detection & Tracking: Real-time Object Detection (YOLO), Multi-Object Tracking, and Pose Estimation.
Image Intelligence: Segmentation (SAM/SAMv2, UNet), Classification, and Vision Transformers (ViT).
Specialized Systems: Medical Imaging, Face Recognition, and Video Analytics.
End-to-End Deployment: Architecting robust REST APIs (Flask/Django) and interactive Streamlit interfaces for seamless integration.
Tech Stack:
Frameworks: PyTorch, TensorFlow, MMLab, OpenCV.
Models: YOLOv8-v11, CNNs, Swin Transformers, Segment Anything (SAMv2).
I don't just build models; I deliver optimized, scalable solutions tailored to your unique requirements. Whether you need a research prototype or a production-ready API, I ensure technical excellence and timely delivery.
Let’s discuss your project goals.
My Core Expertise:
Detection & Tracking: Real-time Object Detection (YOLO), Multi-Object Tracking, and Pose Estimation.
Image Intelligence: Segmentation (SAM/SAMv2, UNet), Classification, and Vision Transformers (ViT).
Specialized Systems: Medical Imaging, Face Recognition, and Video Analytics.
End-to-End Deployment: Architecting robust REST APIs (Flask/Django) and interactive Streamlit interfaces for seamless integration.
Tech Stack:
Frameworks: PyTorch, TensorFlow, MMLab, OpenCV.
Models: YOLOv8-v11, CNNs, Swin Transformers, Segment Anything (SAMv2).
I don't just build models; I deliver optimized, scalable solutions tailored to your unique requirements. Whether you need a research prototype or a production-ready API, I ensure technical excellence and timely delivery.
Let’s discuss your project goals.
Machine Learning Tools
Amazon SageMaker, Databricks MLflow, deeplearn.js, Deeplearning4j, Google AutoML, Google Sheets, GPT-3, Keras, MATLAB, OpenCV, pandas, Python, PyTorch, R, SAS, SQL, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$50
|
Standard
$80
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Muhammad
Deep Learning | Machine Learning & Computer Vision Engineer
Islamabad, Pakistan - 5:21 pm local time
🚀 Core Areas of Expertise
I work best on projects involving:
👁️ Computer Vision: Advanced image & video analysis, including facial recognition and biometric systems.
🧠 Deep Learning: Custom model development and architecture design for complex datasets.
🎯 Detection & Segmentation: High-precision object detection, image classification, and semantic segmentation.
🛠️ Model Optimization: Data preprocessing, performance tuning, and rigorous model evaluation.
💻 Tech Stack: Python-based AI solutions using TensorFlow, PyTorch, OpenCV, and Scikit-learn.
🛠️ My Professional Approach:
Clean & Scalable Code: I focus on writing efficient code that is ready for production, not just a notebook.
Practical Results: My goal is always to deliver accurate models that meet specific business requirements and solve real-world problems.
Reliability: I value clear communication, meeting deadlines, and maintaining high-quality standards throughout the project.
Continuous Innovation: I am committed to staying at the forefront of AI, applying the latest research and technologies to every project I touch.
🤝 Let’s Build Something Great If you are looking for an expert who is passionate about AI and dedicated to delivering measurable results, I would be happy to discuss your project. Let’s transform your data into a 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 Audit & Requirement Alignment
I analyze your dataset and labeling quality. We define the project KPIs, including target accuracy, inference speed (FPS), and the specific deployment environment for the Flask API to ensure the solution meets your business goals.
Pre-processing & Data Augmentation
Using OpenCV, I clean and augment your data to improve model robustness. I ensure all annotations (YOLO/COCO) are precise, as high-quality data is the foundation for achieving superior detection and segmentation results.