You will get will build custom computer vision and deep learning vision systems
Project details
With over 8 years of experience in computer vision, deep learning, and advanced image processing, I deliver production-grade visual AI solutions. I specialize in developing custom PyTorch/OpenCV architectures, object detection pipelines, and real-time tracking systems tailored to your technical requirements. You will receive clean, optimized, and fully tested code designed for high accuracy and performance.
Machine Learning Tools
Amazon SageMaker, GitHub Copilot, Google AutoML, Kubeflow, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, Python, PyTorch, scikit-learn, Tesseract OCRWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | ||
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
About Mohamed
Computer Vision Engineer
Alexandria, Egypt - 7:55 am local time
Top 3% Engineer - Passed the rigorous Turing selection process in AI/LLM /Computer vision(Python, LangChain, AutoGen,Pytorch,LLamindex,Docker). Ready to bring production-grade AI solutions to your business.
I have a strong background in developing computer vision algorithms, building neural networks, and implementing machine learning models. I have also been involved in numerous research projects, where I have gained experience in designing and testing computer vision systems.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Analysis & Vision Pipeline Setup
Analyze the dataset, configure the deep learning architecture, and set up the image processing pipeline.