My name is Reem Alghamdi. I'm a coding addict.
I am currently pursuing a master's degree in Computer Science, while working as a teacher assistant at KAUST.
I have experience in programming, machine/deep learning and software development.
I like to explore new fields! My latest discoveries were in bioinformatics, computer graphics, scientific visualization and computer vision.
King Abdullah University of Science and Technology
M.S. in Computer Science,
GPA: 3.91/4
I’ve taken courses in AI, data analytics, machine learning, deep learning, computer vision, scientific visualization, bioinformatics, numerical linear algebra, and probability and statistics in R.
Princess Nourah bint Abdulrahman University
Bachelor of Computer Science,
GPA: 4.98/5
First honor
Experience
Teacher Assistant
King Abdullah University of Science and Technology,
Under Professor Malek Smaoui
Responsibilities: grading, one-on-one sessions to struggling students, making homework. The course is taught to PhD and MS students alike.
Web Developer Intern
King Abdullah bin Abdulaziz University Hospital,
Make an intern registration website using ASP.NET
Certificates
Machine Learning Specialization
Finished 4 courses: Case Study, Regression, Classification and Clustering.
IELTS Academic Test
7.5 overall,
9 reading, 8.5 listening, 7 speaking, 6.5 writing
Oracle Database Foundations
Certified Junior Associate,
Volunteering
Princess Nourah bint Abdulrahman University
teaching,
Teaching all subjects to students
Joining a teaching club to explain data structure and programming to people
Skills
Programming
I use Python, C/C++, Java, HTML, CSS, and JavaScript regularly. I've also build applications using C# , R, matlab, PHP.
Databases
I use databases regularly with ORMs or SQL. I've used MS SQL, SQLite, postgreSQL, Oracle and mySQL.
Servers and Systems
I've experience with Linux/Ubuntu, Windows and Mac OS. I've also deployed applications with digitalocean and googleplay.
Software Dev
I'm experienced in web, mobile, desktop and game developments. I've also made CLI applications, REST APIs and libraries.
Personal Skills
Research, Teaching, Leadership, Time management, Responsibility, Problem Solving, Working Under Pressure, Flexibility
Theory
AI & machine/deep learning, computer vision, computer graphics, visualization, data analysis, bioinformatics, linear algebra, probability & statistics
I made a moving cube with shading and lighting. For scalar field visualization: slice visualization, marching squares and marching cubes, volume rendering using raycasting and iso ray casting. As for vector field visualization: glyphs, streamlines, pathline visualization, and line integral convolution.
The project aimed at making a model that combines classical computer vision techniques with deep learning methods. This was achieved by using CNN for the deep learning part and interest point descriptors with ORB, which was then turned into BoVW via K-means and trained with MLP model. The CNN model and the MLP models were then trained jointly.
The project aimed at retrieving similar kanji by training a siamese network with triplet loss. Then comparing retrieval results of the siamese model with an autoencoder results.
I’ve made 13 projects. In each, many different algorithms must be applied. such as HMM, suffix arrays, clustering and more. The aim is to answer biological questions. Such as motif finding, antibiotic sequencing, genomes assembly, comparing biological sequences, evolutionary trees and so on.