Owen Huynh


Location

Sacramento, CA
Education
    University of California-San Diego
    September 2021 - June 2025
    degree
    Bachelor's
    major
    Computer Science
Work Experience
    University of California San Diego
    Instructional Assistant
    La Jolla, CA, US
    December 2023 - present
    company
    University of California San Diego
    title
    Instructional Assistant
    overview
    - Assisted in designing and evaluating graph, dynamic programming, greedy, backtracking, and divide and conquer - Conducted weekly office hours and one on one meetings for 3 hours each week to support students on challenging - Evaluated and delivered timely, constructive feedback on up to 60 assignment submissions per week - Projects - AI Personal Trainer - Next.js, Typescript, Tailwind, Prisma, Neon, Clerk, OpenAI, Vercel - Designed, developed, and deployed a full-stack Next.js 14 progressive web application that leverages the OpenAI - Assistants API to provide fitness related advice and challenges via. push notifications for over 100 users - Engineered an interface for users to authenticate themselves in order to chat directly with their own personalized - AI trainer and configure notification preferences - Maintained a serverless PostgreSQL database to efficiently store and retrieve user data, enabling the storage and retrieval of thousands of chat logs and preferences - Gym Traffic Visualization Tool - Python, C++, HTML, CSS, JavaScript, FastAPI, MySQL, Netlify - Led a 15-member team to collect, process, and display mobile device signals in order to develop a tool for monitoring and analyzing foot traffic patterns in RIMAC gym at UCSD - Programmed 27 MH-ET LIVE MiniKit boards to capture and catalog unique BLE MAC addresses onto a cloud - Developed and scaled APIs to efficiently process, manage, and serve queries on a cloud database containing over 33 - Designed a front-end visualization to provide insights into peak usage times and popular areas, ultimately allowing - RIMAC's director to improve facility resources for over 43,000 students - Grade Predictor Model - Python, TensorFlow, Keras, Scikit-learn, Selenium, Beautiful Soup - Built and trained a deep neural net using historical enrollment data from UCSD to predict average student grades for a given course based on class demographics with over 90% accuracy - Developed a webscraper to gather key features from UCSD's Course and Professor Evaluations page to construct a - Kernel Development - Java - Implemented core kernel features such as user-level threads, context switching, scheduling, synchronization, and virtual memory to enhance the performance and functionality of the NachOS operating system
Skills
AlgorithmsApplication Programming Interfaces (APIs)ArduinoArtificial IntelligenceArtificial Neural NetworksCascading Style Sheets (CSS)Cloud ComputingCloud DatabaseComputer ArchitectureComputer ProgrammingC++ (Programming Language)DatabasesData StructuresDemographicsDigital TechnologyDynamic ProgrammingFastapiFeedback ManagementFigmaFront End Software DevelopmentGitGithubGoogle SuiteHTMLInformation TechnologyJava (Programming Language)JavaScript (Programming Language)JupyterKerasMachine LearningMATLABMicrosoft OfficeMicrosoft WindowsMobile Device ManagementMongoDBMySQLNext.jsNumPyOperational SystemsPandasPostgreSQLPostmanProgramming LanguagesPush TechnologyPuTTYPython (Programming Language)ReactJSSchedulingScikit LearnSeleniumServerless ComputingSoftware EngineeringSoftware ToolsTailwindTensorflowTraffic PatternsTypeScriptUser AuthenticationVim (Text Editor)Virtual MemoryVisualizationWeb Applications