Ekow Daniels

Hello I'm

Ekow Daniels

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About Me

I'm Ekow Daniels, a South African student at the University of Virginia, where my passion for Computer Science and Mechanical Engineering thrives on hands-on learning. My curiosity knows no bounds—I'm constantly delving into diverse technologies, eager to understand and innovate. Armed with knowledge and experience, I am committed to using what I've learned to contribute positively to society, aiming to solve pressing challenges and improve lives

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Education

B.S Mechanical Engineering, Computer Science, University of Virginia

Relevant Coursework: Software Development Essentials, Data Structures and Algorithms, Computational Methods, Applied Statistics and Probability

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Experience

Software Engineering Intern - Textron, Hunt Valley, Maryland

  • Developed and integrated a sophisticated path planning algorithm to coordinate multi-agent tasks within autonomous software, optimized coordination of 200+ agents
  • Collaborated with 3 engineers to design new system architecture for multi-agent autonomy, defined comprehensive outlines for agent interactions with the autonomy software, resulted in reduced communication latency and improved memory efficiency
  • Implemented robust C/C++ applications for sending and receiving information via gRPC, and established a centralized MOOS database for all agents, ensured high-reliability data exchange and seamless coordination across all agents

Software Engineering Intern - Gentex Corporation, Zeeland, Michigan

  • Spearheaded a C++ data aggregation utility for project metrics, coupled with a responsive HTML user interface. Significantly reduced data access time and improved accessibility of project insights for product managers
  • Engineered a Python-based JIRA tool for company-wide tracking, managing 4-6 tasks per employee with proactive notifications for incomplete tasks, improving task completion efficiency

Undergraduate Research Assistant - Cavalier Autonomous Racing, Charlottesville, Virginia

  • Leveraged Machine Learning to enhance vehicle’s physics model for more accurate real-word representation, contributed to UVA’s record 171 mph run in Indy Autonomous Speed Trial
  • Created a Linear Regression model linking brake pressure and deceleration with 5% MSE, optimizing brake efficiency and directly reducing lap times by 3 seconds

My Projects

Wait Wizard

Wait Wizard is your ultimate companion for navigating busy venues! Powered by cutting-edge machine learning and queue theory, this iOS app delivers real-time wait time predictions, so you can make smarter choices about where to go, when to go, and how long you’ll have to wait. Whether you’re planning a night out or a quick bite, Wait Wiz has you covered.

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Video Game Trading Bot

The Trading bot is designed to automate trading processes in FIFA Ultimate Team (FUT). It aims to assist users in managing their trading activities more efficiently

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Hoos Organizing

Hoos Organizing is a cutting-edge tool designed to streamline students' academic schedules by automatically sorting assignments. By integrating class schedules, it organizes tasks by due dates and priorities, populating a personalized calendar. Hoos Organizing is the ultimate academic assistant, empowering students to focus on learning while it handles the logistics, promoting a stress-free path to academic success

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Facial Detection

This a simple tool for facial detetcion leveraging openCV.

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Course Review

Course Review is a straightforward yet effective tool designed to enable students to share and read reviews of their courses. Developed as part of a class assignment, this project aims to help students make informed decisions by offering a platform for honest feedback about course content, structure, and instruction. The tool provides a simple interface for submitting reviews and browsing feedback from fellow students, making it an accessible resource for course evaluation.

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What's Next?

I am currently channeling my efforts into developing an innovative iOS app. Stay tuned for updates and the official launch announcement!