Profile Summary

Shahid Ali is an AI Researcher and Computer Vision Engineer with a strong foundation in machine learning, deep learning, and image processing. My interests lie at the intersection of Computer Vision and Natural Language Processing, with a focus on developing reliable, human-centered AI solutions. Developing and deploying AI systems that are scalable, high-performance while contributing to collaborative, innovation-driven projects.

Qualification

Degree	Institution	Duration
Master of Science in Artificial Intelligence [MS-AI]	COMSATS University Islamabad	02/09/2024 – 02/09/2026
Bachelor of Science in Computer Science [BS-CS]	COMSATS University Islamabad	04/03/2019 – 15/03/2023

Thesis & CGPA

MS Thesis: NeuroXSeg: An Uncertainty-Aware Explainable Hybrid Deep Learning Model for Trustworthy Brain Tumor Segmentation in MRI. (CGPA: 4.0 / 4.0)
BS Thesis: Application for blind people to help them search for nearby objects. (CGPA: 3.49/4.0)

Teaching Experience

Position	Institution	Duration
Teaching Associate	COMSATS University Islamabad	01/09/2025 – 31/08/2026
Lab Instructor	Shifa Tameer-e-Millat University, Islamabad	13/04/2026 – Continue

Professional Experience

Position	Organization	Duration
Junior Oracle Developer & Data Analyst	Ghani Glass Limited	03/03/2023 – 06/11/2023
Artificial Intelligence Intern	KaRiz Cyber Technologies (SMC-Private) Limited	23/06/2024 – 23/07/2024

Honors & Awards

No.	Award / Scholarship
1.	Recipient of Fully Funded Scholarship in entire bachelor’s degree at COMSATS University Islamabad (2019-2023)
2.	Recipient of Fully Funded Scholarship in entire master’s degree at COMSATS University Islamabad (2024-2026)

Research Areas / Interests

No.	Research Area / Interest
1.	Computer Vision (CV)
2.	Medical Imaging
3.	Brain Tumor Detection and Segmentation
4.	Deep Fake Detection
5.	Natural Language Processing (NLP)
6.	Large Language Models (LLMs)
7.	Retrieval-Augmented Generation (RAG)
8.	Agentic AI Systems
9.	Generative AI
10.	Diffusion Models
11.	Real-Time Object Detection
12.	Healthcare AI Applications
13.	Explainable AI (XAI)
14.	AI-powered Diagnostic Systems
15.	Transformer-based Architectures
16.	Data Science and Predictive Analytics

Projects

No.	Project Title
1.	Application for blind people to help them search for nearby objects (Final Year Project) – Android-based real-time object detection app using YOLOv4-Tiny, SSD MobileNetV2, and ResNet50.
2.	Lung Tumor Segmentation Using U-Net – Deep learning-based medical image segmentation system using U-Net architecture.
3.	Posture Tracking using MediaPipe – Real-time posture monitoring system using MediaPipe and Computer Vision.
4.	AI-Based Waste Recycling Plant – Real-time waste classification using YOLOv8.
5.	Parkinson’s Disease Detection Using Machine Learning – ML model using biomedical data and feature selection.
6.	Crop Disease Detection Application (CropX) – Mobile app for crop disease detection using image processing and ML.

Certifications

No.	Certification
1.	Data Science with Python – Microsoft
2.	Introduction to Data Science – Microsoft
3.	Machine Learning – Microsoft
4.	Machine Learning, AI & Data Science – Microsoft
5.	Fundamentals of AI – Microsoft Azure