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Basics

Name Kenneth Tiet
Label Software Engineer
Email tietkenneth@gmail.com
Phone (626)400-9263
Url https://kennethtiet.github.io
Summary Specialist at Apple. Previously researcher at the USC Haptics Robotics and Virtual Interaction Lab. Recent graduate from the University of Southern California with a Bachelors of Science in Computer Science.

Work

  • Oct 2024 - Present
    Specialist
    Specialist at Apple
    • Provided 50+ personalized technical recommendations weekly and guided seamless technical setups
    • Conducted in-depth analysis for 10+ customers daily, leveraging technical knowledge to provide tailored solutions
    • Led 15+ product demonstrations monthly, showcasing Apple Vision Pro and iOS software features
    • Enhanced team skills by collaborating with a team of 20+ colleagues and interacting with 100+ customers monthly
  • May 2022 - Aug 2022
    Software Intern
    RoviSys
    Automated processes with software at RoviSys!
    • Developed 5 software tools that automated company processes, resulting in annual cost savings of $300,000
    • Wrote comprehensive documentation for 5 software tools, simplifying user adoption and improving maintability
  • Jun 2023 - Jun 2024
    Backend Software Engineer
    Haptics Robotics and Virtual Interaction Lab, University of Southern California
    Contributed to audit management tool for research settings!
    • Enabled file uploads by implementing core functions of web application using React, TypeScript, and JavaScript
    • Improved onboarding and codebase maintainability by creating clear documentation using Markdown
    • Completed prototype with a 6 person cross functional team using Agile Scrum, presented it at SoCal Robotics 2023
    • Converted JavaScript codebase to TypeScript by refactoring existing modules and adding type definitions
    • Reduced technical debt by removing hard-coding and refactoring code, improving reliability and maintainability
  • Feb 2024 - Oct 2024
    Robotics Instructor
    Institute of Arts, Music & Science
    Taught robotics and programming through project led instruction!
    • Provided robotics education to 3+ elementary students using Lego Mindstorms and project based approach
    • Assisted students in programming 6+ robots by providing elementary programming instruction
    • Ensured a safe and clean learning environment with daily cleaning and organizing of classroom

Education

  • 2020 - 2023

    Los Angeles, California

    Bachelors of Science
    University of Southern California
    Computer Science
    • GPA: 3.6
    • Course work: Software Engineering, Data Structures, Algorithms, Computer Systems, Operating Systems, Networking

Awards

Skills

Languages
Python
C++
JavaScript
TypeScript
Java
SQL
HTML
CSS
Frameworks
React
Bootstrap
Node.js
Express.js
Serverless Framework
Developer Tools
Amazon Web Services (AWS)
Github
Visual Studio Code
Docker
Jira
Postman
Database
PostgreSQL
AWS DynamoDB
MySQL
Google Firebase

Languages

English
Native
Mandarin
Elementary

References

Sandeep Kollannur
PHD Candidate at Haptics Robotics and Virtual Interaction Lab, University of Southern California
Email: sandeep.kollannur@usc.edu
Phone: 1+ (320) 207-9285
Relationship: Advisor
Eunji Lee
Director at Institute of Arts, Music, and Science
Email: eunji@iams-usa.org
Phone: +1 (562) 304-0201
Relationship: Supervisor
Scott Imaizumi
Program Coordinator at City of Monterey Park
Email: simaizumi@MontereyPark.ca.gov
Phone: 1+ (626) 307-1476
Relationship: Supervisor

Projects

  • Jun 2024 - July 2024
    NoteIt
    Productivity tool with functional features for note organization and retrieval.
    • Tech Stack: Python, Django, React, PostgreSQL
    • Minimized code-base by approx. 25% by implementing RESTful APIs from the Django REST Framework
    • Enabled storage of notes up to 8 GB on an online database, using PostgreSQL and Digital Ocean
  • May 2024 - May 2024
    TicTacToe
    Classic tic-tac-toe game built in React
    • Tech Stack: React
    • Programmed game using React and JavaScript complete with Time-travel and history of moves
    • Utilized a modular design approach, creating reusable components such as Board, Square, and Game
  • May 2024 - May 2024
    Network Simulation
    Built networking of communicating servers to develop expertise in networking fundamentals
    • Tech Stack: C++
    • Mastered TCP/IP and UDP protocols, resulting in a 95% accuracy rate in simulated data transmission
    • Reduced latency by approximately 20% by implementing efficient socket management techniques
  • Jun 2023 - Aug 2023
    SuperChat
    Real time instant messaging application that allows users to communicate in a global chat room
    • Tech Stack: React, Firebase
    • Reduced sign-in time by 66% and code-base by 20% using Google Sign-In and Firebase authentication
    • Improved message latency by 30% by utilizing cloud syncing feature from Firebase Realtime Database
  • Sep 2022 - Nov 2022
    EventMe
    Event registration Android mobile app that allows users to view and register for local events
    • Tech Stack: Android, Java, Google Firebase, JUnit, Espresso
    • Mitigated frequency of callbacks by 20% by redesigning database schema and restructuring database queries
    • Diminished back-end errors by 40% and increased error visibility by implementing robust testing & error handling
  • Sep 2022 - Nov 2022
    Bankify
    Mock banking application that provides financial services for over 50+ users and fulfulled over 40,000+ requests
    • Tech Stack: Linux, Apache, MySQL, Perl
    • Decreased data access times by 35% by designing an effective database schema and restructuring queries
    • Protected against 100+ brute force and rainbow table attacks, using salt-hashing password protection method
  • Feb 2022 - Mar 2022
    LinkBucket
    Full stack link-sharing social platform
    • Tech Stack: Java, HTML, CSS, MySQL
    • Maintained a 99% success rate with user authentication and login authorization from robust implementation
    • Improved data retrieval by 25% by redesigning database schemas to more effectively handle user data