Jacob Roedel

Learning Assistant at The George Washington University - School of Engineering & Applied Science
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Contact Information
us****@****om
(386) 825-5501
Location
Washington, District of Columbia, United States, US

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Bio

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Credentials

  • Inclusive Mindset (2020)
    LinkedIn
    Jan, 2023
    - Oct, 2024
  • Unconscious Bias (2017)
    LinkedIn
    Jan, 2023
    - Oct, 2024

Experience

    • Learning Assistant
      • Jan 2023 - Present

      - Assists the GTA (Graduate Teaching Assistant) in laboratory sections for CSCI 1012 (Introduction to Programming with Python) - Aids non-engineering students by teaching lecture material, syntactical python practices and algorithmic thinking - Hosts two weekly office hours to reinforce learning for students by explaining concepts and answering questions - Assists the GTA (Graduate Teaching Assistant) in laboratory sections for CSCI 1012 (Introduction to Programming with Python) - Aids non-engineering students by teaching lecture material, syntactical python practices and algorithmic thinking - Hosts two weekly office hours to reinforce learning for students by explaining concepts and answering questions

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Engineering Intern
      • May 2023 - Aug 2023

      - Developed a Q&A chatbot for an internal sales/support team using large language models, vector databases, and similarity searches to decrease manual time spent searching for answers in documentation by 40% and increase reliability of information - Utilized frameworks including LangChain for document ingestion and text generation, Pinecone for vector/embedding and metadata storage, and Streamlit for a frontend web application interface - Participated in a Generative AI hackathon by creating a sales advisory chatbot that delivered personalized recommendations to users for computers and machines based on their requests Show less

    • Undergraduate Research Assistant
      • May 2022 - Aug 2022

      PYTHON REQUEST SCHEDULER - Designed multiple scheduling algorithms to process image analysis requests from multiple clients on an edge server dependent on the deadline for completion and execution time of the request - Constructed a multi-threaded process in which worker threads complete requests by popping off a queue sorted by temporal or completion priority - Included run-time analysis to determine the speed and execution of the server, and drop expendable requests to enhance performance and guarantee requests be fulfilled by their deadline AWS DEEPRACER ON EDGE CLOUDS - Utilized an AWS DeepRacer car to drive autonomously by sending/receiving data through various Edge services such as GW’s SLEdge (Serverless-first, Light-weight Wasm Runtime for the Edge) - Decreased round trip travel time of the data/images by 50% compared to a traditional cloud service allowing for safer autonomous driving Show less

Education

  • The George Washington University - School of Engineering & Applied Science
    Bachelor of Science - BS, Computer Science
    2020 - 2024
  • Half Hollow Hills High School East
    High School Diplmoa with Honors
    2016 - 2020

Community

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