Summary
Work History
Education
Skills
Languages
Languages
Projects
Timeline
Generic

Abdul Moiz

Lahore

Summary

Motivated Computer Science student (6th semester) with solid academic grounding and competitive skillset in software development and machine learning. Proficient in object-oriented programming, data structures and algorithms, problem analyzing and solving. Seeking an opportunity to apply technical skills in a challenging, growth-oriented environment.ng and growth-oriented environment.

Work History

Machine Learning Intern

HPC Lab, SEECS, NUST
Islamabad
06.2024 - 08.2024
  • As a Machine Learning Intern, I worked on real-world datasets to build and evaluate predictive models using Decision Trees, Random Forests, K-Means, KNNs, SVMs, Naive Bayes, and Logistic Regression. My role involved data preprocessing, feature engineering, and implementing models using Python libraries like scikit-learn and TensorFlow. I performed model evaluation using metrics like accuracy and F1-score, and collaborated on optimizing performance through hyperparameter tuning and cross-validation.

Education

Bachelor of Science - Computer Science

SEECS, NUST
Islamabad, Pakistan
06.2026

Skills

  • Languages: C/C, Python, Java, Dart
  • Mobile App Development: Flutter, Android Studio
  • Web Development: HTML, CSS, JavaScript
  • Tools & Platforms: Git/GitHub, Google Colab, Firebase, Visual Studio Code, IntelliJ IDEA, UI/UX Design
  • Concepts: OOP, DSA, Algorithms and Complexities, Software Optimization, OS Concepts, Client-Server and Distributed Architecture, Multithreading and Multiprocessing, Information and Cyber Security

Languages

English (Fluent), Urdu (Native), Spanish (Learning)

Languages

Urdu
First Language
English
Proficient (C2)
C2
Spanish
Beginner (A1)
A1

Projects

SafePak – Online FIR Registration App
Flutter | Firebase | Supabase | Dart
Developed SafePak, a cross-platform mobile application that allows users to register First Information Reports (FIRs) online, streamlining the complaint lodging process. The app features user authentication, secure form submission, and real-time tracking of case statustus. Integrated Firebase for backend services, including authentication, Firestore database, and cloud storage Designed an intuitive UI to ensure ease of use for citizens and implemented role-based access for both users and law enforcement personnel.

E-Commerce App – Online Shopping Platform
Built a cross-platform e-commerce mobile app enabling users to browse, search, and purchase products online. The app features user authentication, product listings, shopping cart, and order history. Integrated Firebase for real-time database, secure user login, and product management. Designed a clean and responsive UI with dynamic category filtering and detailed product views. Implemented cart functionality with quantity updates and checkout process for a seamless user experience.

Timeline

Machine Learning Intern

HPC Lab, SEECS, NUST
06.2024 - 08.2024

Bachelor of Science - Computer Science

SEECS, NUST
Abdul Moiz