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I'm an AI/ML Engineer and Robotics Specialist with 6+ years of experience building AI that works outside the lab, from cancer detection in hospitals to signal target tracking, autonomous navigation, and precision-agriculture robots in the field.
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 🦾 Robotic Manipulation |
 🧍 Humanoid Robotics |
 🐕 Legged Locomotion |
 🗺️ ROS Navigation & Path Planning |
| Domain | Technologies | Level |
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| 🧠 AI / ML | TensorFlow · PyTorch · Keras · Scikit-Learn · CNN · LSTM · GAN · Transformers | ⭐⭐⭐⭐⭐ |
| 👁️ Computer Vision | OpenCV · YOLO · Faster R-CNN · Mask R-CNN · Semantic Segmentation · Tracking | ⭐⭐⭐⭐⭐ |
| 🤖 Robotics | ROS / ROS 2 · SLAM · Navigation · Path Planning · Sensor Fusion · Gazebo | ⭐⭐⭐⭐⭐ |
| 🩺 Medical AI | Histopathology · X-ray / CT / MRI · CAD Systems · Diagnostic Tools | ⭐⭐⭐⭐ |
| 📡 Signals Processing | Signal Processing · Target Detection · FMCW · MATLAB/Simulink | ⭐⭐⭐⭐ |
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NSTP, Islamabad
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Precision Medicine Lab, Peshawar
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UET Peshawar
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Towards a foundation model for chest X-ray interpretation using vision-language models.
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Real-time computer-vision fall detection for hospitals, elder-care and rehab centers.
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End-to-end app classifying 3D objects directly from point clouds.
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Detects malicious executables from static PE-file features.
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Machine-learning classification of multi-omic biological data.
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Flask platform unifying medical vision & language models: segmentation, X-ray, blood cells, COPD, Parkinson's.
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| 🩺 Medical AI Esophageal & lung cancer, breast cancer, sarcoma, COVID-19 |
📡 Signal Processing Target detection, flying-object tracking, control interfaces |
🤖 Autonomous Systems SLAM, navigation, obstacle avoidance, mapping |
🌾 Agri Robotics Crop/weed vision, UAV imagery, precision spraying |
| Year | Paper | Highlight |
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| 2022 | Using low-resolution, low-cost histopathology images to predict esophageal squamous cell carcinoma via deep learning | 🎯 96% accuracy (ensemble) |
| 2022 | TobSet: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots · Applied Sciences | 🌱 52% less pesticide |
| 2021 | A Highly Reliable CNN Based Soft Tissue Sarcoma Metastasis Detection from Chest X-ray Images | 🩻 91.2% accuracy |
| 2021 | A Novel Semi-supervised Framework for UAV Based Crop/Weed Classification | 🚁 90% with 80% unlabeled data |
| 2020 | Real-Time Machine Learning Based Crop/Weed Detection and Classification for Variable-Rate Spraying in Precision Agriculture · IEEE ICEEE | ⚡ Real-time field deployment |
- 🥇 Best Employee of the Year (2023)
- 🎓 Fully Funded HEC Scholarship for MS degree (2017)
- 📚 Research Excellence Awards for multiple publications
- 🏅 Best Project Awards in AI and robotics competitions
Working on something exciting in AI, robotics, medical imaging, or signal processing? Let's talk!
"Intelligence is most useful when it can see, sense, and act in the real world. Let's build it together."