Rural Healthcare Digital Twin — Diabetes
A healthcare-focused Digital Twin project designed around diabetes support in rural areas, combining AI-oriented thinking with an applied healthcare use case.
COMPUTER SCIENCE • AI • MACHINE LEARNING
Currently learning Cloud Computing while building practical AI-powered solutions.
I am a BS Computer Science student with a strong interest in Artificial Intelligence, Machine Learning, and Python development. Through internships, certifications, and academic projects, I have gained hands-on experience while developing my technical and problem-solving skills. I enjoy learning new technologies, exploring innovative ideas, and building practical AI-based solutions.
01 — ABOUT
My main career direction is Artificial Intelligence and Machine Learning. I enjoy turning concepts into practical projects and continuously strengthening my programming, analytical, and problem-solving abilities.
Alongside AI/ML, I am currently learning Cloud Computing to understand how intelligent applications can be developed, deployed, and scaled in modern computing environments.
My portfolio is designed to grow with me throughout university and beyond — from academic projects and certifications to my final-year project and future professional work.
02 — SKILLS
Programming, data work, automation, and ML projects.
Classification, prediction, model experimentation, and evaluation.
AI concepts, intelligent applications, and practical problem solving.
Working with data to understand patterns and support decisions.
Learning modern agentic AI concepts and tools.
Currently learning Cloud Computing and expanding my knowledge of cloud concepts and services.
Version control, project repositories, and portfolio development.
Applying computational thinking to academic and practical projects.
03 — PROJECTS
A healthcare-focused Digital Twin project designed around diabetes support in rural areas, combining AI-oriented thinking with an applied healthcare use case.
A machine learning project focused on predicting disease outcomes from health-related features.
A classification project for distinguishing spam messages from legitimate emails.
Handwritten digit recognition using the well-known MNIST dataset and machine learning techniques.
A predictive modeling project exploring credit-related classification and risk assessment.
A rule-based conversational system demonstrating foundational AI logic and response handling.
A university software project focused on managing home-sale related information and operations.
A university project exploring blink-based interaction for navigating a PDF reader.
04 — EXPERIENCE
Gained practical exposure to Artificial Intelligence concepts and strengthened technical and problem-solving skills through hands-on learning.
Developed practical experience with Machine Learning concepts, workflows, and problem-solving through hands-on internship work.
Built hands-on Machine Learning experience through practical projects and applied learning.
Gained practical Machine Learning experience through project-based work, model development, and applied problem solving.
05 — CERTIFICATIONS
06 — EDUCATION
University of Faisalabad
07 — CONTACT
I'm open to connecting around AI, Machine Learning, Python, cloud technologies, and future opportunities.
aqsasaqib256@gmail.com