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General Information

Full Name Leen Alzebdeh
Languages English, Arabic

Education

  • Sep 2024-Jun 2026
    Master of Science, Computing Science
    University of Alberta, Edmonton, Alberta
  • 2020-Jun 2024
    Bachelor of Science, Specialization in Computing Science
    University of Alberta, Edmonton, Alberta
    • First Class Standing (GPA≥3.5)

Skills

  • Languages: Python, C, Java, Julia, JavaScript/ TypeScript, SQL, HTML/CSS, XML.
  • Technologies: NumPy, PyTorch, Keras, TensorFlow, Pandas, scikit-learn, Matplotlib, React (ES6), Django, Android, Git, JUnit, Docker NLTK, Linux, Shell.
  • Databases: MongoDB, PostgreSQL.

Experience

  • Jan 2024-Present
    Student Researcher
    University of Alberta: Department of Medicine, Edmonton, Alberta
    • Developing a PyTorch Temporal Fusion Transformer model to predict blood glucose levels for hospitalized type 2 diabetes patients, utilizing time series data from electronic medical record.
    • Performing feature engineering to enhance model performance, including the extraction and creation of new features from raw time series data.
    • Staying updated with the latest research and developments in time series forecasting and machine learning in healthcare, applying new techniques to improve the model's performance.
  • Jul 2022- Present
    Street Team Member
    Reverb Communications, Edmonton, Alberta
    • Establish booths to educate the public on train-related safety ahead of the valley train line opening.
    • Present and disseminate educational materials, proactively addressing inquiries to enhance public knowledge and adherence to train safety protocols.
    • Engaged large audiences, reaching 80+ persons per hour regularly.
  • Sep 2022-Dec 2022
    Frontend Developer
    Zero RampUp, Remote
    • Collaborated in a 7-member team to develop and deploy a business website from scratch, using JavaScript.
    • Utilized Agile methodology with weekly stand-ups and sprint planning.
    • Developed custom React Hooks to facilitate seamless retrieval of asynchronous data from a REST API and dynamically update website components.
    • Engaged in pair programming with frontend developers and conducted code reviews to ensure code quality.
  • 2020-2024
    Tutor
    Paper Edu, Remote
    • Tutored K-12 students in computer science and mathematics, earned an average of 94% positive reviews.
    • Provided code review for computer science students in Java, Python, C and JavaScript.
  • Jul 2018-Aug 2018
    Intern
    University of Alberta, Edmonton, Alberta
    • Collaborated on a 6-week research project to optimize the performance of a program that simulates the board game Hex, mainly through refactoring and rewriting existing code.
    • Presented the findings to an audience of over 30 peers, faculty, and industry professionals. This presentation demonstrated improved program performance metrics and facilitated an interactive Q&A session.

Projects

  • Feb 2023-Apr 2023
    ROS Developer
    Autonomous Robot Driving Using Robot Operating System (ROS)
    • DContributed to a team of 5 to develop a blogging/social network platform web app that is linked with other teams’ unique APIs and can aggregate activity from their web servers.
    • Built the app's backend, integrated APIs, and wrote unit tests in Django.
    • Tools, Python, NLTK, Pandas.
  • Nov 2021-Dec 2021
    NLP Developer
    NLP-Based Relation Extraction & Classification
    • Developing and optimizing a Naive Bayes classifier for NLP, focused on extracting and categorizing semantic relationships from text, utilizing advanced data preprocessing and evaluation techniques including 3-fold cross-validation on the FewRel dataset.
    • Tools, Python, PyTorch, NumPy.
  • Nov 2021-Dec 2021
    Computer Vision Developer
    Semantic Image Segmentation on MNISTDD-RGB
    • Customized a U-Net model for image segmentation on the MNIST Double Digits RGB dataset and achieved 86% accuracy.
    • Tools, Python, PyTorch, NumPy.
  • Mar 2023-Apr 2023
    Machine Learning Developer
    Linear Regression, Neural Networks and SVM to Predict Edmonton’s Weather
    • Implemented linear regression, neural networks, support vector machine (SVM) algorithms to predict temperature and precipitation using Edmonton's daily weather dataset.
    • Tools, Python, Matplotlib, NumPy, TensorFlow, scikit-learn, sodapy.
  • Jan 2023–Apr 2023
    Django Backend Developer
    Distributed Social Networking Web App
    • Contributed to a team of 5 to develop a blogging/social network platform web app that is linked with other teams’ unique APIs and can aggregate activity from their web servers.
    • Built the app's backend, integrated APIs, and wrote unit tests in Django.
    • Tools, Python, Django, React.
  • Sep 2021-Dec 2021
    Android Developer
    Habit Tracking App
    • Collaborated in a team to create a social media Android app using Java, XML and Cloud Firestore.
    • Implemented a map to share a post’s location, with address search and selection using Geolocation API.
    • Employed JUnit for unit testing to enhance code quality and prevent bugs.

Presentations

  • Apr 2024
    Alzebdeh L, Lin C. Glucose Prediction and Automated Insulin Dosing in Hospitals. Endocrinology division, University of Alberta; Edmonton AB. April 2024.

Relevant Courses

  • CMPUT 401 - Software Process and Product Management
    • Demonstrated best practices in software project and product development.
  • CMPUT 461 - Introduction to Natural Language Processing (NLP)
  • CMPUT 328 - Visual Recognition
    • Implemented supervised and unsupervised machine learning methods, such as Autoencoders, LTSM, and unsupervised domain adaptation
  • CMPUT 291- File and Database Management
    • Explored entity-relationship model; relational model, and implemented projects in SQL, and MongoDB.
  • CMPUT 366 - Introduction to Artificial Intelligence
    • Implemented a Q-learning algorithm to solve a maze problem.
    • Explored algorithms to solve deterministic shortest path problems, such as A*, heuristic depth search, and branch and bound.
  • CMPUT 204 - Algorithms I
    • Explored and implemented many searching, sorting, and graph algorithms.

Volunteer Experience

  • Barista at The Carrot Community Arts Coffeehouse
    • Skillfully prepared beverages and fostered a warm, inviting atmosphere, enhancing community engagement at the coffeehouse.
  • Art Booth Coordinator at The Works Art & Design Festival
    • Managed an art booth, presented artworks, and interactively engaged with visitors, enriching their experience and understanding of the art.

Academic Interests

  • Machine learning
  • AI in healthcare
  • Machine vision
  • Time-series predictions

Other Interests

  • Hobbies: Cooking new cuisines (currently Korean), reading (Life 3.0 by Max Tegmark at the moment), sketching.