You will get computer vision, image processing, opencv, deep machine learning in python
Project details
Hi! I'm Rehan, a Deep Learning and Computer Vision expert. I build robust, high-accuracy AI models tailored to your business needs. From real-time object detection to complex image processing and specialized tasks like 3D face reconstruction, I handle the entire AI pipeline end-to-end.
Core Services:
Object Detection & Tracking: YOLOv8, Faster R-CNN for security, retail, and automotive.
Classification & Segmentation: U-Net, Mask R-CNN for medical imaging & defect detection.
Facial Recognition & Pose Estimation: MediaPipe for advanced biometrics and human-computer interaction.
Custom Machine Learning: Hybrid approaches using classical ML and modern deep neural networks.
Data annotation
My Tech Stack:
PyTorch, TensorFlow, Keras
OpenCV, Scikit-learn, Python
MediaPipe, YOLOv8
End-to-End Deployment: I deliver ready-to-use solutions optimized for your target environment:
Cloud API Integration (AWS, Azure, GCP)
Edge Devices (Jetson Nano, Raspberry Pi)
On-Premises Server Deployment
Why choose me?
Clean, well-documented code
High accuracy & fast inference
Please message me before ordering to discuss your specific data and project!
Core Services:
Object Detection & Tracking: YOLOv8, Faster R-CNN for security, retail, and automotive.
Classification & Segmentation: U-Net, Mask R-CNN for medical imaging & defect detection.
Facial Recognition & Pose Estimation: MediaPipe for advanced biometrics and human-computer interaction.
Custom Machine Learning: Hybrid approaches using classical ML and modern deep neural networks.
Data annotation
My Tech Stack:
PyTorch, TensorFlow, Keras
OpenCV, Scikit-learn, Python
MediaPipe, YOLOv8
End-to-End Deployment: I deliver ready-to-use solutions optimized for your target environment:
Cloud API Integration (AWS, Azure, GCP)
Edge Devices (Jetson Nano, Raspberry Pi)
On-Premises Server Deployment
Why choose me?
Clean, well-documented code
High accuracy & fast inference
Please message me before ordering to discuss your specific data and project!
Machine Learning Tools
ChatGPT, fastText, GitHub Copilot, Google Data Studio, MATLAB, MLflow, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Sonnet, Stanford CoreNLP, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 8 days |
Number of Revisions | 2 | 7 | Unlimited |
Number of Model Variations | 2 | 5 | 14 |
Number of Scenarios | 10 | 26 | 50 |
Number of Graphs/Charts | 5 | 12 | 20 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
About Rehan
Senior AI Engineer | PHD | Computer Vision | NLP | 8+ Years Experience
Lahore Cantt, Pakistan - 9:03 am local time
→ 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐏𝐡𝐃 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 𝐰𝐢𝐭𝐡 𝟑𝟎𝟕+ 𝐜𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝟏𝟓+ 𝐩𝐞𝐞𝐫-𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐩𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐭𝐨𝐩 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐚𝐧𝐝 𝐣𝐨𝐮𝐫𝐧𝐚𝐥𝐬
I design and deploy production-grade AI systems from real-time object detection pipelines and medical image classifiers to NLP solutions and edge-deployed models on embedded hardware. My work spans both rigorous academic research and real-world engineering, which means I do not just build models that perform in notebooks. I build systems that perform in production.
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧
- 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: YOLOv8, Faster R-CNN, EfficientDet, DeepSORT, ByteTrack, SORT
- 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: U-Net, Mask R-CNN, SAM, DeepLabv3+, SegNet, FCN, Semantic Segmentation
- 𝗢𝗖𝗥 𝗮𝗻𝗱 𝗧𝗲𝘅𝘁 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Tesseract, EasyOCR, PaddleOCR, CRNN, Invoice and ID Parsing, License Plate Recognition
- 𝗙𝗮𝗰𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: FaceNet, InsightFace, MTCNN, RetinaFace, Emotion Recognition, Face Landmark Tracking
- 𝗣𝗼𝘀𝗲 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗚𝗲𝘀𝘁𝘂𝗿𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻: MediaPipe, OpenPose, HRNet, Skeleton Tracking
- 𝗩𝗶𝗱𝗲𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲: Object Counting, Vehicle Detection, Action and Anomaly Detection
- 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗩𝗶𝘀𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀: CycleGAN, Stable Diffusion, ControlNet, Synthetic Data Generation
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
- 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: Brain Tumor Segmentation, Lung Cancer Detection, Melanoma Classification, Breast Cancer Analysis, COVID-19 Detection, Pneumonia Prediction from X-rays
- 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜: TransLIME and ITL-LIME, published in Information Sciences and ACM CIKM 2025
- 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Quantization, Pruning, ONNX Export, TensorRT Acceleration, CUDA
𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠
Sentiment Analysis, Cyberbullying Detection, Text Classification using NLTK, Ktrain, and Transformers
OCR for low-resource languages including Urdu OCR developed at CLE Lab,
Time Series Forecasting and Weather Prediction using deep sequence models
API development and deployment of NLP models via FastAPI and Flask
𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
REST API design and deployment using FastAPI and Flask
Model serving with TorchServe and Triton Inference Server
Cloud deployment on AWS Lambda, Azure ML, and GCP Vertex AI
Containerization with Docker and pipeline tracking with MLflow, Weights and Biases, and DVC
𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬
𝗦𝗵𝗼𝗽𝗹𝗶𝗳𝘁𝗶𝗻𝗴 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺: Real-time YOLOv8 pipeline analyzing CCTV feeds for suspicious movement and theft-like actions
𝗦𝗽𝗼𝗿𝘁𝘀 𝗣𝗼𝘀𝗲 𝗮𝗻𝗱 𝗘𝗾𝘂𝗶𝗽𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Tennis analytics model tracking player pose, racket and ball trajectory using DCPose and YOLO for motion feedback
𝗟𝗶𝗰𝗲𝗻𝘀𝗲 𝗣𝗹𝗮𝘁𝗲 𝗮𝗻𝗱 𝗖𝗮𝗿 𝗠𝗮𝗸𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻: YOLO and EasyOCR system for parking and traffic automation
𝗦𝗮𝘁𝗲𝗹𝗹𝗶𝘁𝗲 𝗜𝗺𝗮𝗴𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Pix2Pix GAN trained to convert satellite images into segmented maps identifying roads and vegetation
𝗕𝗿𝗮𝗶𝗻 𝗧𝘂𝗺𝗼𝗿 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: 3D Deep Residual U-Net published in Biomedical Signal Processing and Control with 267 citations
𝗟𝘂𝗻𝗴 𝗖𝗮𝗻𝗰𝗲𝗿 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: EfficientNet-based pipeline published in Engineering Applications of Artificial Intelligence with 289 citations
𝗙𝗮𝗰𝗲 𝗟𝗮𝗻𝗱𝗺𝗮𝗿𝗸 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗔𝗥 𝗙𝗶𝗹𝘁𝗲𝗿𝘀: MediaPipe-based landmark detection for real-time filter placement in mobile apps
𝗖𝘆𝗯𝗲𝗿𝗯𝘂𝗹𝗹𝘆𝗶𝗻𝗴 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Deep learning classifier trained on YouTube comments for toxic content identification
𝗖𝗢𝗩𝗜𝗗-𝟭𝟵 𝗮𝗻𝗱 𝗣𝗻𝗲𝘂𝗺𝗼𝗻𝗶𝗮 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Swin Transformer and Transfer Learning pipeline on X-ray datasets
𝐓𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬
- PyTorch, TensorFlow, Keras, Detectron2, Ultralytics YOLO, OpenMMLab, FastAI
- OpenCV, Pillow, Albumentations, MediaPipe, ImgAug
- NLTK, Ktrain, Transformers, Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn, Plotly
- FastAPI, Flask, TorchServe, Triton, Docker, AWS, Azure, GCP
𝐀𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝
𝐏𝐡𝐃 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 𝐢𝐧 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, Murdoch University, Perth, Australia
MS in Computer Science, COMSATS University
University-level instructor in Computer Vision, Deep Learning, and Applied AI
Published in Information Sciences (IF 6.8), Engineering Applications of Artificial Intelligence (IF 8.0), IEEE Access, Biomedical Signal Processing and Control, and ACM CIKM
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