It Support Machine Learning

Noah Keenan

443-***-**** **********@*****.*** GitHub LinkedIn

EDUCATION

Western Governors University 2024-2025

B.S, Computer Science Salt Lake City, UT

Cyber Club, National Honor Society

Relevant Coursework: Data Structures and Algorithms, Operating Systems, Computer Architecture, Database Management, Linux, Web-Programming

University of Tennessee, Knoxville 2020-2022

Attended as a supply chain management student and transferred in 2022.

Member of Pi Kappa Alpha Fraternity, UT Entrepreneurship Club, International Business Club WORK EXPERIENCE

AI Writing Analyst October 2024 – March 2025

Outlier AI

Analyzed and evaluated AI-generated content for coherence, accuracy, and factual correctness

Provided in-depth feedback to enhance language model output and writing quality

Worked closely with research teams to refine assessment methodologies and ensure optimal AI performance IT Support Specialist (Internship) June 2023 – February 2024

Atlas Financial Charleston, SC

Diagnosed and resolved hardware/software issues to optimize system performance

Developed automation scripts to streamline IT support tasks

Created and implemented a fully functional VoIP system for all team members. Volunteer Assistive Technologist December 2022 – June 2023 Maryland School for the Blind Baltimore, MD

Installed and configured screen readers, braille displays, and speech-to-text software for students

Provided one-on-one training to students on using assistive technology for education and communication

Developed custom accessibility solutions to help students engage with digital learning materials PROJECTS

Vacation Booking Application

Built a full-stack booking platform with a Spring Boot (Java) backend and Angular (TypeScript) front-end

Designed a MySQL database and implemented RESTful APIs for seamless data management Disaster Recovery Robot Simulation

Developed an autonomous search-and-rescue robot in CoppeliaSim to navigate post-earthquake environments

Programmed navigation and obstacle detection using Python, implementing machine learning algorithms for pathfinding and object recognition with proximity and people-detection sensors Capstone Project

Developed a machine learning model to predict NFL draft success based on college stats and combine results.

Python, Random Forest, Pandas, Scikit-learn, CRISP-DM methodology TECHNICAL SKILLS

Languages: Java, JavaScript/HTML/CSS, Python, C++, SQL, AIML

Frameworks & Tools: Spring, Angular, Node.js, Scikit-learn, Pandas, Git, Linux, Gradle, MavenTools: Git, Linux, Gradle, Maven

Concepts & Databases: Machine Learning (Random Forest), Data Structures & Algorithms, Big O Notation, MySQL, H2

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