I am a BS Computer Science student at the National University of Modern Languages (NUML), Faisalabad, expected in 2028, with a CGPA of 3.85/4.00. My focus is practical AI: deep learning, computer vision and image segmentation with Python, PyTorch and OpenCV — and, increasingly, AI automation, which I am currently studying, including workflows with tools like n8n.
I also have working knowledge of full-stack development and relational databases (SQL/MySQL), and I build my profile around AI first: models and automation that solve a real problem, not just demos.
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Expected 2028 — CGPA 3.85/4.00
National University of Modern Languages, Faisalabad. Coursework and projects in deep learning, computer vision, object-oriented programming and relational databases.
Deep Learning Research — Supervised by Ms. Saira Ishtiaq
Building a medical imaging classification and segmentation model with PyTorch and OpenCV, working with the BraTS 2021 dataset from Kaggle, which comprises four MRI scan modalities, to segment brain tumors.
PyTorch — ResNet-18
Trained a ResNet-18 model in PyTorch on a dataset of nearly 3,000 chest X-ray scans, classifying images as Normal, Viral Pneumonia, or COVID-19, with a custom Dataset and DataLoader pipeline. Developed for hands-on learning purposes only; not intended for medical diagnosis.
Currently pursuing an AI automation course, with experience of automation tools like n8n — building workflows that connect apps, data and AI models to remove repetitive manual work.
Prime Minister's Laptop Scheme Award, for maintaining a top academic merit rank (CGPA 3.85). Participant, International Computer Science Competition (ICSC). Oracle Cloud Infrastructure (OCI) AI Foundations Associate — AI/ML fundamentals.
Wajid Ali.
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