KARIM EL SHARKAWY
College Park,MD
Summary
Dynamic and driven Computer Science major specializing in Machine Learning at the University of Maryland, with a proven track record of technical innovation and leadership. As Cofounder and CTO of xedu, I have spearheaded the development of an edTech startup while excelling in advanced ML projects, including predictive analytics for MLB umpire decision-making. Proficient in Python, TensorFlow, and Scikit-Learn, I bring a blend of technical expertise, analytical rigor, and creative problem-solving to every endeavor. Having lived and traveled across the globe, I offer a unique perspective shaped by diverse cultures, thriving in fast-paced environments and delivering impactful solutions at the intersection of technology and human connection.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Cofounder & Chief Technology Officer
XEDU
06.2024 - Current
- Spearheaded the development and launch of the xedu app, an educational platform connecting students with advisors tailored to their interests and academic goals.
- Managed technical infrastructure, overseeing front-end and back-end development, with a focus on user experience and scalability.
- Played a critical role in xedu’s growth, including strategic planning, product development, and marketing efforts (e.g., Instagram and TikTok launch campaigns).
- Collaborated with the team to secure partnerships and user onboarding strategies for both advisors and students.
- Currently leading an initiative to integrate AI-powered features, such as a virtual tutor and advisor ranking model.
MLB Umpire Strike Zone Analysis
University of Maryland
01.2024 - 05.2024
- Built a binary classification model using Decision Tree algorithms to predict MLB umpires' ball and strike calls based on pitch data from 2023
- Selected key features such as pitch location, break, and velocity, achieving an accuracy of 91% on test data with the model
- Analyzed the impact of umpire decisions on game outcomes, identifying how incorrect strike zone calls influence player performance
- Collaborated on the design and testing of the model, leveraging statistical methods to evaluate umpire performance
Human Capital Internship
Majid Al Futtaim
11.2019 - 11.2019
- Collaborated closely with the Human Capital Director and a dedicated team of associates, gaining hands-on experience in strategic HR operations within a leading multinational conglomerate
- Engaged in a comprehensive month-long internship, offering insights into daily operations across various company divisions, enhancing my understanding of business mechanics
- Participated in a rotational program across key teams, including Marketing and Ski Dubai Operations, fostering adaptability and cross-functional teamwork skills
- Developed a profound understanding of business functionality, team dynamics, and human relations, significantly contributing to productivity enhancements through effective communication and collaboration strategies
Education
Bachelor of Science - Computer Science - Machine Learning
University of Maryland, School of Computer Science
College Park, Maryland12.2025
US High School Diploma -
American School of Dubai
Dubai, UAE05.2022
Skills
- Programming
- Machine Learning
- Artificial Intelligence
- Data Manipulation
- Software Development
- Project Management
- Entrepreneurial leadership
- Python
- Java
- C
- OCaml
- TensorFlow
- PyTorch
- Scikit-Learn
- Pandas
- NumPy
- SQL
- Algorithms
- Data Structures
- Version Control
- GitHub
- Problem-Solving
- Analytical Skills
Phone Numbers
USA: +1 (240)-853-4161
UAE: +971 56-798-0524
Languages
Arabic
Native or Bilingual
English
Native or Bilingual
Spanish
Professional Working
French
Professional Working
Certification
- PADI Certified Master Scuba Diver
- Certified 1st & 2nd AID/Emergency Responder
Timeline
Cofounder & Chief Technology Officer
XEDU
06.2024 - Current
MLB Umpire Strike Zone Analysis
University of Maryland
01.2024 - 05.2024
Human Capital Internship
Majid Al Futtaim
11.2019 - 11.2019
Bachelor of Science - Computer Science - Machine Learning
University of Maryland, School of Computer Science
US High School Diploma -
American School of Dubai
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