You will get A Computer Vision Model
Project details
I specialize in developing custom computer vision solutions tailored to client needs. What sets my work apart is the ability to deliver not just high-accuracy models, but complete, practical pipelines—from preprocessing and data augmentation to training, evaluation, and deployment. I leverage state-of-the-art architectures like ResNet, YOLO, and CNNs, ensuring models are optimized for both performance and efficiency. My approach is highly collaborative: I work closely with clients to understand their dataset, project goals, and deployment requirements, creating solutions that are robust, scalable, and ready for real-world use. Whether it’s medical imaging, object detection, or facial recognition, I focus on turning data into actionable insights, supported by clear documentation and visualizations. This end-to-end process ensures clients receive not just a model, but a solution that drives impact and meets their goals.
Machine Learning Tools
ChatGPT, Keras, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, TensorFlowWhat's included $80
These options are included with the project scope.
$80
- Delivery Time 2 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 2
- Model Validation/Testing
- Source Code
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$15
Add Dataset
(+ 1 Day)
+$35About Kerollos
Biomedical Engineering | Data Scientist | Data Analyst
Cairo, Egypt - 4:22 am local time
In my early projects, I worked on classifying heartbeats and detecting monkeypox skin lesions, diving into deep learning, machine learning, and data-driven solutions. These projects taught me how powerful AI can be when applied to healthcare, and they sparked my ambition to go deeper into AI, ML, and Data Engineering.
At the same time, I got hands-on experience in the biomedical devices world through my internship at Lifecare Technology. There, I stood face-to-face with ventilators that patients depended on, learning the responsibility of maintaining and repairing such critical systems. It showed me the human side of engineering — that behind every device or dataset, there’s a life that depends on it.
To strengthen my technical side, I trained at NTI in Machine Learning and Deep Learning, while also building a strong foundation in databases, data structures, and neural networks. This gave me the flexibility to move comfortably between different roles — whether it’s analyzing massive datasets, designing AI models, or providing technical support.
Today, I see myself not just as a biomedical engineer, but as a driven explorer of technology — someone who blends healthcare, AI, and data to create meaningful solutions. My story is still being written, but one thing is clear: I’m motivated to grow, to learn, and to use my skills to bridge the gap between technology and people’s lives.
Steps for completing your project
After purchasing the project, send requirements so Kerollos can start the project.
Delivery time starts when Kerollos receives requirements from you.
Kerollos works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
Analyze the dataset, project goals, and client expectations.
Data Preprocessing
Clean, normalize, and augment images for model readiness.