Elie Rizk - Resume


Detail-oriented Computer Science graduate with a strong foundation in machine learning, data analysis, and cybersecurity. Currently working as a Cybersecurity Engineer at Teknologiia, where I have developed custom security integrations and built real-time monitoring systems. Proven expertise in developing and implementing machine learning algorithms, data visualization, and software solutions. Passionate about leveraging technology to solve real-world problems and improve existing systems.

>_ Skills & Languages

Domain Expertise

Programming Languages

Machine Learning

Developer Tools

Bash
Powershell
Git
Github
Linux
Azure

Languages

English
French
Arabic

>_ Education

Master of Science in Computer Science

University of Michigan, MI, United States
2022 - 2024
  • Pursued graduate studies in Computer Science with a focus on Machine Learning and Cybersecurity research
  • Recipient of a Fulbright scholarship and an Honor Scholar Award, GPA: 4.0

Bachelor of Science in Computer Science

American University of Beirut, Lebanon
2019 - 2022
  • Graduated with high distinction in Computer Science and a minor in Mathematics
  • Recipient of three competitive merit-based scholarships, GPA: 4.0

>_ Work Experience

Cybersecurity Engineer

Teknologiia, Jounieh - Lebanon
August 2024 - Present
  • Developed custom security integrations, including a Teams extension for actionable alert management and an automated security incident reporting module, automating manual effort and improving response times
  • Built and deployed an Elastic stack from scratch with custom dashboards and dynamic ingest pipelines, enabling real-time monitoring of critical alerts and detailed asset tracking for clients
  • Conducted SOC analysis using the CrowdStrike Falcon console, monitoring and responding to detections to strengthen incident response processes

Machine Learning Researcher

University of Michigan, MI - United States
March 2023 - June 2024
  • Developed and implemented novel machine learning algorithms prioritizing privacy, fairness and robustness metrics while maintaining an accuracy threshold of 93%
  • Trained and customized various model architecture (Lenet, Resnet and EfficientNet) on large image datasets to benchmark training algorithms
  • Developed a static code analysis tool to identify vulnerabilities in PHP code using graph traversal algorithms achieving an 80% coverage of published vulnerabilities (CVEs) in popular web applications

Software Developer

American University of Beirut, Lebanon
July 2021 - August 2022
  • Automated the recruitment workflow of startups with relevant job candidates by developing and deploying a skill matchup software leading to a 3-fold reduction in recruitment time
  • Built the software backend using Django (Python) and deployed the application and database on Azure
  • Ensured that the web application follows the OWASP web security guidelines by performing regular risk assessment and compliance to security frameworks

>_ Relevant Projects

  • Developed a novel framework for assessing and training holistically trustworthy machine learning models in the domains of utility, security, privacy and fairness
  • Reconciled the trade-offs by proposing multi-objective optimization algorithms to produce accurate, private, fair and robust models

Machine Learning for Network Intrusion Detection

Information Engineering
December 2023
  • Performed data visualization and feature engineering (PCA) to detect network intrusion with an accuracy of up to 99%
  • Trained various machine learning models (regression, decision trees and deep neural networks)

Predicting a Country’s Migration Rate

Data Science
April 2022
  • Developed and end-to-end ML project to predict country’s migration using multiple architectures (linear regression, decision tree, random forest, SVR, and deep neural network) achieving an R2 score of 98%
  • Coded Python and R scripts for data cleaning, exploratory data analysis and time series feature engineering to visualize the data on an interactive map

>_ Certifications

CrowdStrike Certified Falcon Administrator (CCFA)

CrowdStrike
December 2024
  • Passed the CCFA certification exam (95%)

CompTIA Security+

CompTIA
October 2023
  • Passed the CompTIA Security+ certification exam

Google Cybersecurity Certificate

Google and Coursera
October 2023
  • Received the Google Cybersecurity Professional Certificate on Coursera under the sponsorship of Amideast Lebanon

Diversity, Equity, and Inclusion Certificate

University of Michigan
September 2023 - April 2024
  • Completed the DEI certificate program from the Rackham Graduate School of the University of Michigan

>_ Awards

Master's Honor Scholar Award

University of Michigan
March 2024
  • Received the Master's Honor Scholar Award for academic excellence in the Computer Science department

Mark Sawaya Excellence Award

American University of Beirut
June 2022
  • Received the Mark Sawaya Excellence Award in Computer Science as the undergraduate Computer Science student with the highest cumulative GPA

>_ Volunteering Experience

Computer Science Instructor

American University of Beirut, Lebanon
Jan 2022 - May 2022
  • Created and managed weekly training sessions and labs in computer literacy, Python programming, and basic Web Development for a group of 30 high school students

First Responder and Emergency Dispatcher

Lebanese Red Cross
Sep 2018 - August 2021
  • First responder in the Emergency Medical Service team in the Lebanese Red Cross
  • Emergency medical dispatcher for the 140 hotline of the Lebanese Red Cross
  • Provided first aid and emergency medical services to patients in various settings including road accidents, home emergencies, and public events
  • Managed a team of 5 as the head of the hygiene committee responsible for importing disinfecting agents and cleaning supplies