About Me

My name is Reet Kaler and I'm from the D.C. Metropolitan area. I am pursuing a Bachelor of Science in Computer Science from Virginia Tech with a minor in math. I'm interested in software development, machine learning, and UI/UX design. Outside of school, I enjoy reading and working out.

  • Programming Languages
    Java, Python, HTML, CSS, C#, C++, Javascript
  • Tools
    CAD, Git
  • Frameworks
    React, ASP.NET, Arduino
  • Interpersonal Skills
    Collaboration, leadership, mentorship
  • Personal Skills
    Organization, tech advocacy
  • Communications Skills
    Tutoring, public speaking, graphic design
  • Computer Science
    AP Computer Science A, Data Structures & Algorithms, Advanced Computer Studies, IT Programming
  • Mathematics
    AP Calculus BC, AP Statistics
  • Physics
    AP Physics 1, AP Physics C: Mechanics

Experience

April 2024

Kode With Klossy

Scholar

  • Participated in an immersive technical program focusing on AI, ML, image classifiers, UI/UX design, and database diversity.
  • Leveraged Teachable Machine to develop a machine learning powered application that can classify seven types of flowers from live camera feeds.
  • Returning this summer to undertake an extended machine learning and AI program.
  • Tutor

    Freelance

  • Actively tutoring students in Java Programming and AP Statistics.
  • Guided students through practice problems and exam preparation.
  • Developed personalized lesson plans to address specific learning objectives and challenges.
  • March 2024-Present
    November 2023-February 2024

    BAE Systems

    Technology Intern

  • Simulated intricate electronic circuits using TinkerCad to create an efficient prototype.
  • Constructed breadboard circuits, utilizing prototupes as a foundation for seamless integration and functionality.
  • Optimized firmware for electronic systems with C++ on Arduino platforms, ensuring optimal functionality and heightened performance in embedded designs.
  • One Off Coder

    Lead STEM Instructor

  • Conducted individualized weekly tutoring sessions in Python and math by implementing challenging projects for students.
  • Mentored seven new interns, providing guidance and knowledge transfer to cultivate a collaborative and skilled team, contributing to the program's overall success.
  • Presented daily STEM activities for students to create an interactive and dynamic learning environment.
  • February 2022-November 2023

    Projects

    FlowerFinder
  • An image classification machine learning model that leverages Google's Teachable Machine to accurately identify seven distinct types of flowers solely from live camera feeds.
  • Implemented data analytics techniques to enhance the model's accuracy and performance.
  • Seamlessly integrated image classifier into a website interface.
  • Contact Me