Casey Pham

619-***-**** adkcsa@r.postjobfree.com linkedin.com/in/caseyppham caseypham.github.io Education

University of California, San Diego Expected Graduation: Fall 2021 Bachelor of Science, Computer Science

Technical Skills

Languages: C/C++, Java, Python

Environments: Unix/Linux, Windows

Tools: Android Studio, GDB, GitHub, IntelliJ, Vi/Vim Work Experience

United States Department of the Navy November 2020 – January 2021 Software Engineer Intern - Naval Research Enterprise Internship Program (NREIP)

● Worked in an agile team environment with 4 other interns to create a technology that would easily parse and transmit different data files types that would then be uploaded to a cloud provider

● Leveraged Python CSV libraries to read, parse, and process the raw data files and used MAMP to test and verify that the cloud upload is correctly implemented and read

● Presented to the head of engineering technicians, software project manager, and regional program directors on project deliverables, individual contributions, and roadmaps on future product iterations Projects and Awards

EventLife Android Application

● Collaborated in a team of ten developers to create an Android application using Android Studio and Java that would allow users to create, RSVP, as well as follow events and friends within a local school social network

● Implemented the backend datastore and schemas as well as onboarding authentication using Firebase Realtime Database and Firebase Authentication to register, log, and store event/user data

● Performed user and end-to-end testing to ensure accurate and valid creation of events and corresponding updates of the user in the Firebase Realtime Database Chess Randomizer

● 1st place award winner of the Miramar College IEEE Hack-A-Thon coordinated, directed, and designed the project alongside a team of six

● Developed a player, game, and randomizer in C that was a hybrid of chess and Magic the Gathering where cards would be randomly selected and would be given strength analysis of defense or attacking Markov Model String and Character Predictor

● Designed an artificial intelligence program based on the Markov Model Probability Theory that takes in a text file and randomly creates new text suggestions depending on user text patterns

● Leveraged HashMaps and ArrayLists to track and update the occurrences of each word or character in the text file Completed Course Work

● Advanced Data Structures

● Computer Organization and Systems Program

● Data Science in Practice

● Design and Analysis of Algorithms

● Mathematics for Algorithms and Systems

● Software Engineering

● Software Tools and Techniques Laboratory

● Theory of Computation

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