Summary
Overview
Work history
Education
Skills
Projects
Certification
Languages
Timeline
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Alia Alneyadi

Alia Alneyadi

Abu Dhabi,UAE

Summary

Highly motivate Computer Engineering graduate specializing in AI from Abu Dhabi University, with a strong foundation in programming, mathematics, and machine learning. Experienced in solving complex problems and working with large datasets. Passionate about AI development, with a collaborative mindset and strong communication skills, eager to contribute to innovative projects.

Overview

1
1
year of professional experience
1
1
Certification

Work history

Intern trainee

Huawei
Abu Dhabi - China
09.2025 - 11.2025
  • Completed training in 5G, AI, Big Data, and Datacom , developing a strong foundational understanding of modern telecom and ICT technologies.
  • Gained exposure to real-world telecom and ICT solutions used in large-scale network deployments.
  • Assisted with basic configuration tasks and participated in hands-on learning lab activities.

Intern

Reach Digital
Abu Dhabi, UAE
07.2024 - 08.2024
  • Engaged in AI-focused business discussions and strategic planning.
  • Reviewed RFPs and tender processes.
  • Assisted senior staff in data analysis tasks to inform strategic decisions.
  • Shadowed senior team members to develop practical knowledge and gain critical industry-specific skills.

Education

Bachelor of Engineering - Computer Engineering Concentration in Artificial Intelligence

Abu Dhabi University
Abu Dhabi
2020 - 2024

High School Diploma - Science

Dubai National School
Dubai
04.2001 - 2020

Skills

  • Machine Learning models
  • Deep Learning models
  • Computer Vision
  • Image Processing
  • Python Programming


Projects

  • Drone Controller Tracking Using Machine Learning Managed a successful research project on drone controller tracking, integrating machine learning and a user-friendly GUI. Achieved top performance in accurately forecasting the controller's angle.


  • Development of a Deep-Learning-Based Framework for the Classification of Lung and Colon Cancer Histopathology Images
    Led the development of a ResNet-50-based deep-learning framework, achieving 97.3% accuracy in automating the classification of lung and colon cancers from histopathological images.

Certification

Oct 2025

  • HCIA-Datacom, Huawei

Mar 2023

  • Third Place in "Following The Trail" & "Bitter Data" Cyberthon - CYMPRIE

Jan 2023

  • Fundamentals of Electrical Engineering, ADNOC, Abu Dhabi

Nov 2022

  • Networking Essentials, CISCO Networking Academy

Languages

Arabic
Native
English
Advanced

Timeline

Intern trainee

Huawei
09.2025 - 11.2025

Intern

Reach Digital
07.2024 - 08.2024

High School Diploma - Science

Dubai National School
04.2001 - 2020

Bachelor of Engineering - Computer Engineering Concentration in Artificial Intelligence

Abu Dhabi University
2020 - 2024
Alia Alneyadi