LEVI DAWIT

Hi, I'm Levi Dawit

I’m Levi Dawit, a computer science student at the University of Virginia with a passion for software engineering and building innovative solutions. With experience in app development, data engineering, and project leadership, I thrive at the intersection of technology and problem-solving to create impactful projects that enhance efficiency and accuracy.

Download my Resume

SKILLS

  • Languages: Java, C/C++, Python, C, TypeScript, Swift, PyTorch, R, HTML/CSS, SQL, Matlab
  • Frameworks: React,Flutter, JUnit, React,FastAPI, AWS, Firebase, Google Cloud Platform, React Native, NodeJS, ReactJS, Flask, Docker, Pandas, WebSocket, Git, REST APIs
  • Databases: Oracle, MySQL, PostgreSQL, MongoDB, PL/SQL
  • Web Development: HTML5, XML, CSS, JavaScript
  • Design Tools and IDEs: Eclipse, IntelliJ, Visual Studio
  • Operating Systems: Windows, MacOS, Linux
  • Other Tools: Maven, Gradle, Git, GitHub

University of Virginia, School of Engineering and Applied Science

  • 2022-2026 Bachelor's of Science in Computer Science

    Relevant Courses: Data Structures 1 and 2, Computer Systems and Organizations 1 and 2, Software Development Essentials and Software Engineering, Introduction to Cybersecurity, Machine Learning, Discrete Mathematics

  • Prestigious private boarding school focusing on academic excellence and leadership. Graduated with honors and developed a strong foundation in science and critical thinking. Varsity Football and Track Athlete

 
Skills Infographic

Skills Infographic

Java 100%
C/C++ 80%
Python 85%
JavaScript 75%
TypeScript 70%

Experience

  • May 2024-Aug 2024 Interstate Moving and Logistics: Data Engineering Intern

    Last summer, I gained hands-on data engineering experience by developing a solution to streamline data collection and processing. I created a mobile app, ScaleScan, which allowed drivers to scan weight tickets and securely transmit data to a dispatch system via a REST API. This reduced manual entry time by 30%, increased data accuracy, and optimized image processing for real-time updates using asynchronous methods.

Interstate Moving and Logistics

Projects

ScaleScan Technologies: React Native, REST APIs, Image Processing

ScaleScan is an iOS app developed to streamline data entry for drivers by allowing them to scan weight tickets directly from their phones. This app reduces manual data entry time by 30% and increases data accuracy for dispatch operations. It leverages a REST API for secure data transmission and optimized image processing for real-time updates.

Course Review Application Technologies: Java, SQlite

A web application created to allow students to review and rate their courses and professors. This project helps enhance decision-making for course selection while fostering community feedback. Developed using modern web technologies to ensure a user-friendly interface and robust functionality.

Contact

Location:

University of Virginia, Charlottesville, VA

Call:

+1 202-792-9217

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