I am a Deep Learning & Computer Vision Engineer and current Research Assistant & Lab Coordinator at Islamia College University. My work focuses on bridging the gap between high-precision academic research and functional AI applications.
- 🔬 Current Research: Developing a 3D W-Net architecture with Flap Attention for Type-B Aortic Dissection Segmentation.
- 🤖 GenAI Focus: Building advanced LangChain Runnables (LCEL) and automated code debugging tools.
- 🏫 Mentorship: Training junior students in Python and OpenCV at the Smart IT Lab.
- 🎓 Education: B.Sc. in Computer Science (GPA: 3.13/4.00), Islamia College University.
| Category | Tools & Technologies |
|---|---|
| Frameworks |    |
| Computer Vision | OpenCV YOLO (v5-v11) Faster R-CNN MONAI U-Net |
| Generative AI | LangChain (LCEL) Groq API RunnableParallel Llama 3.1 |
| Medical AI | NIfTI DICOM 3D Medical Image Segmentation |
| Hardware | RTX 3060 (12GB) — Dreaming of an RTX 4090! |
A self-correcting debugging tool built with LangChain Runnables.
- Tech: Python, LangChain, Groq (Llama 3.1), Streamlit.
- Function: Uses
RunnableParallelto simultaneously analyze errors, explain the root cause, and provide corrected code. - Workflow: Input (Broken Code + Error) → Parallel Analysis → Result (Fixed Code + Explanation).
- Benchmarking YOLO Variants for Thermal Image Object Detection, Multidisciplinary Surgical Research Annals, 2025.
- Predicting Heart Diseases Using Ensemble Classifier with Explainable AI, 2025.
- Dataset Expertise: Custom creation and annotation for Medical, Thermal, and Satellite imagery.
- 📍 Location: Peshawar / Charsadda, Pakistan
- 🗣️ Languages: English (IELTS B2), Urdu, Pashto.
- 💬 Ask me about: YOLO benchmarking, 3D Medical AI, or building custom AI chains!