Introduction

I'm a junior at The University of Texas at Austin, completing a B.S. in Computer Science, minor in Business, and certificate in Applied Statistical Modeling.

I have a strong interest in cutting edge technology and software development, particularly in using AI/ML to solve real world problems. In university, I'm involved in Texas Momentum. Outside of school, I work at Integral Development Corp. creating AI solutions in the financial industry.

Software Engineering Internships

  • Integral Development Corp.

    Developed a scalable document-Q&A system handling diverse file types and improving user experience by boosting system response time by ~30%

  • Nordstrom

    Created full-stack app to look up and dynamically display changes in over 10 TB of recorded product data for retail partners

  • Cornerstone Logistics

    ▪ Automated PDF generation for construction bid requests and orders
    ▪ Integrated DocuSign eSignature REST API into mobile app

Projects

WineWorld

  • Developed frontend using JavaScript and React-Bootstrap, React-google-maps/api to display 1000s of instances
  • Implemented backend using Python and Flask, and used SQLAlchemy to create endpoints and MySQL database
  • Registered domain name and hosted application using AWS Amplify, AWS Route 53, DigitalOcean Droplets
  • Documented API using Postman; set up dev/prod/server environments, Dockerfiles, GitLab CI/CD

pintOS: UTCS Operating Systems Project

Designed and implemented kernel modules such as basic interrupts, multiple thread schedulers(e.g.MLFQS), user process handling, multiple system calls, and a fully functional file system based on FFS

ReactJS

  • Built a task tracker app using React Hooks, assembled local database with mock REST API using JSON Server tool
  • Engineered a full-stack Twitter clone with Material UI React Component Library and Google Firebase on backend
  • Designed basic HTML page to add and display blog posts, used Fetch API and Redux Toolkit to manage state

Social Security Administration Name Analysis

This Java program analyzed data on the 1000 most popular baby names every decade since 1900 from the Social Security Administration's website. The program was used to discover a surge in popularity for Disney Princess names (such as Aurora, Belle, or Jasmine) at two times in the past century. Once when the original Disney movie came out, and again when Disney released a remake and/or live show.

Huffman Zip File Software

Built a zip file software using binary trees, priority queues, and hash maps to compress and decompress files using the standard Huffman lossless data compression algorithm.

Skills

  • Python
  • Java
  • C/C++
  • React
  • AWS

I'm proficient in Python and C/C++, Oracle Certified in Java, and have experience creating fullstack apps with Flask/SQLAlchemy, Spring Boot React. I also have experience with AWS, Docker, and GitLab CI/CD.

Using Python, I created a web application that allows users to search for and view wine information similar to IMDB. I used C/C++ to create a kernel for a custom operating system, a memory management application, and an x86-64 system emulator. In Java, I created multiple projects such as a Spring Boot backend, a name analysis program, and a zip file software. Finally, I've created a personal file storage system in AWS S3 and a command line interface for AWS DynamoDB; Dockerfiles for dev/prod/server environments, and GitLab CI/CD pipelines.