Summary
Overview
Work history
Education
Skills
Certification
Timeline
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RAWAN ALYAHYA

Summary

  • Abdelreheem, A., Upadhyay, U., Skorokhodov, I., Al Yahya, R., Chen, J., & Elhoseiny, M. (2022). 3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language

Overview

5
5
years of professional experience
1
1
Certification

Work history

AI Engineer

Artificial Intelligence
Riyadh
07.2021 - Current
  • Using Python to develop multimodal deep learning models to perform classification and detection tasks and reaching improved and excellent performance
  • Preparing raw data collected from hospitals for modeling which includes data investigating and understanding, data cleaning, feature selection, and final data formatting to be used in machine learning.
  • Integrating a deep-learning model into the application and leveraged Kubernetes cluster technology for efficient deployment across multiple servers.

Core Developer

Nommas
Khubar
07.2020 - 07.2021
  • Leveraged expertise in deep learning and computer vision to develop algorithms that met clients' needs, such as defect detection in manufacturing
  • Collaborated with clients to understand their specific requirements and provided customized solutions to meet their needs
  • Successfully implemented algorithms in Python programming language, achieving high levels of accuracy and reliability

Research Intern

King Abdullah University of Science & Technology
Thuwal
09.2020 - 12.2020
  • Developed a deep learning multimodal model that combines vision and natural language achieving state-of-the-art performance on benchmark datasets
  • Implemented the model in Python programming language and Pytorch library, achieving high levels of accuracy and scalability
  • Collaborated with PhD students and other researchers to contribute to the writing and submission of a research paper to a top-tier conference or journal

Research Intern

Visual Computing Center, King Abdullah University of Science & Technology
Thuwal
05.2018 - 07.2018
  • Worked for ten weeks on procedural generation of indoor scenes for an automatic generation of a database that can be used for training AI models
  • Used 3ds Max software and Python to write a program that automatically generates realistic indoor scene.

Education

Master of Science - Computer Science

King Abdullah University of Science and Technology

Bachelor of Science - Computer Science

University of Arizona

Skills

  • Computer and Data Science:
  • Python, Pytorch, TensorFlow, Java, C, C, Matlab, Microsoft SQL, Tableau data Visualization Software, Gretl, computer vision, NLP

Certification

AI for Healthcare - Udacity, 04/2023

  • Developed fundamental skills for working with various types of healthcare data, including 2D and 3D medical imaging, EHR data, and wearable device data.
  • Built and evaluated different AI models for different clinical scenarios involving these types of data, and learned how to ensure privacy, security, and interpretability in AI models.
  • Gained experience in data exploration, feature engineering, model building, and model evaluation in the context of healthcare applications, and developed an understanding of the challenges and opportunities of applying AI to healthcare data.

Timeline

AI Engineer

Artificial Intelligence
07.2021 - Current

Research Intern

King Abdullah University of Science & Technology
09.2020 - 12.2020

Core Developer

Nommas
07.2020 - 07.2021

Research Intern

Visual Computing Center, King Abdullah University of Science & Technology
05.2018 - 07.2018

Master of Science - Computer Science

King Abdullah University of Science and Technology

Bachelor of Science - Computer Science

University of Arizona

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RAWAN ALYAHYA