Landon Creel

EDUCATION
Texas A&M University May 2021
B.S. in Computer Science, Minor in Earth Sciences
GPR: 3.686

SKILLS
Programming Languages: Java, Java/TypeScript, C/C++, Python, C#, SQL
Other Skills: Spring Boot, Angular, GraphQL, React, Git, Communication

EXPERIENCE
Software Engineer II (August 2021 - Present)
Dell Technologies
  • Worked as part of Agile team to build and maintain scalable API microservices with a total weekly volume of 930 million weekly requests using Java, Spring Boot, and Oracle
  • Reduced microservice aggregation response time by a factor of 10 through the creation of a GraphQL client application
  • Built and maintained accessible and user-friendly web portals using TypeScript/Angular and Java/Spring Boot to facilitate onboarding to RESTful API microservices
  • Reduced major and critical security vulnerabilities from over 50 to 0 overall vulnerabilities by completing the upgrade of an Angular 12 application to Angular 15
Java Full-Stack Developer Certification (January 2022 – October 2022)
Simplilearn Industry Bootcamp
  • Participated in 6-month bootcamp of instructor-led courses, guided and solo practice, and independent readings to further develop competencies with full-stack development tech
  • React.js, Spring Boot, and MySQL to develop a full-stack e-commerce application as part of a solo capstone project
Software Engineering Intern (June 2020 – August 2020)
BP p.l.c
  • Worked in a team of six to develop a full-stack online recruitment platform using Flask, MongoDB, and Microsoft Azure for virtualization
  • Wrote Python scripts to parse uploaded resumes, managed Azure virtual machine deployments and security, created MongoDB schemas for backend
Computer Science Teaching Assistant (January 2021 - May 2021)
Texas A&M Computer Science Department
  • Taught C++ in the context of computer systems (memory, synchronization, etc…)
  • Held office hours to assist students with labs and assignments related to Computer Architecture, Computer Systems, and Programming Studio
PROJECTS
ColorClimb Spring 2021
Computer Vision Indoor Climbing Assistant
  • Implemented Python code utilizing OpenCV libraries to identify handhold paths based on color to assist colorblind people with path selection in indoor rock climbing
  • Collaborated with three other developers to develop an iOS app for usage
TAMU Hack (January 2019)
Facial Recognition Classroom Attendance Solution
  • Implemented facial recognition using Azure Cognitive Services to identify students
CodeRed Hackathon (November 2018)
Endless Side-Scrolling Platformer Game
  • Implemented procedural terrain generation to enable an endless side-scrolling game
  • Implemented sprite tiling and created UI themes to create visually appealing graphics