You will get a computer vision model for detection, classification, or segmentation
Rising Talent
Project details
You will get a custom computer vision model built and trained specifically for your use case whether that's detecting objects, classifying images, or segmenting regions in your visual data.
I'm a Micro1-certified Machine Vision Engineer with production-level CV experience: YOLOv8 object detection pipelines, DenseNet121 medical image classification (Mean AUC 0.72 across 14 conditions), DeepLab v3+ segmentation with custom loss functions, and deepfake detection (AUC 0.8994) all deployed and tested.
I choose the right architecture for your specific data and task rather than applying a one size fits all approach, and I deliver models that are evaluated properly not just ones that "run."
Tell me your task, your data, and your target environment, and I'll confirm the right approach.
I'm a Micro1-certified Machine Vision Engineer with production-level CV experience: YOLOv8 object detection pipelines, DenseNet121 medical image classification (Mean AUC 0.72 across 14 conditions), DeepLab v3+ segmentation with custom loss functions, and deepfake detection (AUC 0.8994) all deployed and tested.
I choose the right architecture for your specific data and task rather than applying a one size fits all approach, and I deliver models that are evaluated properly not just ones that "run."
Tell me your task, your data, and your target environment, and I'll confirm the right approach.
Machine Learning Tools
Keras, NumPy, OpenCV, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Zain
Computer Vision Engineer | YOLOv8 & Medical AI | Deep Learning, Python
Islamabad, Pakistan - 1:52 am local time
As a Micro1 certified Machine Vision Engineer, I specialize in real-time object detection (YOLOv8, OpenCV), deepfake and forensic image detection, and medical image analysis using DenseNet121 and CNN architectures.
What I've built and shipped:
• Real time object detection pipeline YOLOv8 + OpenCV, tested on live video
• Deepfake detection system AUC 0.8994, deployed live on Streamlit
• Multi disease medical image classifier DenseNet121, trained across 14 conditions
• Weakly supervised satellite image segmentation DeepLab v3+, ResNet101, custom Focal Partial Cross Entropy loss, delivered for a paid client
• RAG-based document chatbot LangChain, vector search
Tech stack: Python, TensorFlow, PyTorch, Keras, OpenCV, YOLOv8, Scikit-learn, Streamlit, FastAPI, LangChain.
I trained as an AI/ML intern at CodeAlpha and have completed paid freelance projects with verified client reviews. I take time to understand the actual problem before writing a line of code, and I deliver tested, working systems.
Send me your project details and I'll tell you honestly whether I can help and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Review data & select architecture
Analyze your dataset and task, then select the right model architecture (YOLOv8, DenseNet, DeepLab, etc.) for your specific use case.
Preprocess & augment data
Clean, resize, normalize, and augment your images to maximize model performance on limited data.