AI/ML Engineer | Computer Vision, Object Detection & Deep Learni by Shakeel Ur RehmanAI/ML Engineer | Computer Vision, Object Detection & Deep Learni by Shakeel Ur Rehman
AI/ML Engineer | Computer Vision, Object Detection & Deep LearniShakeel Ur Rehman
I'm a Machine Learning Engineer specializing in Computer Vision and Deep Learning solutions including real-time object detection, image classification, facial recognition, video analytics, and custom AI model development.
Services:
Custom YOLOv8/YOLO11 model training and deployment
Real-time object detection & tracking systems
Image classification, segmentation, OCR solutions
Medical imaging AI (MRI/X-ray analysis)
Face recognition & biometric systems
Model optimization (ONNX export, edge deployment)
API integration (FastAPI) for production-ready ML systems
End-to-end pipeline: data collection → training → deployment
Background: Computer Science graduate with hands-on experience building a multi-agent surveillance system as my final year project (93.6% mAP accuracy), along with multiple real-world projects delivered phishing detection (94.4% accuracy), a medical AI suite, and a virtual try-on system.
Quality, deadlines, and clear communication are my top priorities. Let's build something great together.
AI/ML Engineer | Computer Vision, Object Detection & Deep LearniShakeel Ur Rehman
Contact for pricing
Tags
computer vision developer
deep learning engineer
image classification python
image recognition
machine learning model
object detection
OpenCV developer
real-time video processing AI
TensorFlow model training
I'm a Machine Learning Engineer specializing in Computer Vision and Deep Learning solutions including real-time object detection, image classification, facial recognition, video analytics, and custom AI model development.
Services:
Custom YOLOv8/YOLO11 model training and deployment
Real-time object detection & tracking systems
Image classification, segmentation, OCR solutions
Medical imaging AI (MRI/X-ray analysis)
Face recognition & biometric systems
Model optimization (ONNX export, edge deployment)
API integration (FastAPI) for production-ready ML systems
End-to-end pipeline: data collection → training → deployment
Background: Computer Science graduate with hands-on experience building a multi-agent surveillance system as my final year project (93.6% mAP accuracy), along with multiple real-world projects delivered phishing detection (94.4% accuracy), a medical AI suite, and a virtual try-on system.
Quality, deadlines, and clear communication are my top priorities. Let's build something great together.