About me

Ina Chun

Stanford CS '26·inakathleenchun@gmail.com·

Work Experience

Industry Roles

Virtu Financial

Software Development Intern

Jun. 2025 – Aug. 2025

New York, NY

  • Implemented core components for proprietary internal systems (details under NDA).

Apple

Software Engineering Intern

Jul. 2024 – Sep. 2024

San Diego, CA

  • Built internal analytics platform to evaluate test performance and identify bottlenecks for engineering managers.
  • Leveraged predictive insights to anticipate build failures, using historical data to streamline engineering workflows.
  • Deployed application to SWE managers across CoreOS and Audio & Media Technologies, leading 300+ engineers.

Tesla

Software Engineering Intern

Mar. 2024 – Jun. 2024

Palo Alto, CA

  • Developed a touch-data forwarding system for engineers to remotely connect with vehicle infotainment screens.
  • Built an automated migration pipeline and versioning system for large binary datasets used by 40+ engineers.
  • Automated testing workflow for UI bugs, producing a 70% reduction in manual testing time for intern cohort.

Drones and Autonomous Systems Lab (University of Nevada, Las Vegas)

Research Intern

Sep. 2019 – Jun. 2020

Las Vegas, NV

  • Developed software for OpenBCI to control an exoskeleton robot and prosthetic devices with EEG brain signals.
  • Collected 400+ total data segment samples from human brain, produced 95% classification accuracy of movement.
  • Published research paper and discussed future applications of brainwave-controlled prosthetics at IEEE 2020.

US Patent and Trademark Office

Provisional Patent Owner

Apr. 2020 – Nov. 2020

Irvine, CA

  • Created a dynamic brain-imaging constructor to track multi-dimensional brainwave changes in epilepsy patients.
Education

Academic Background

Stanford University

Bachelor of Science, Computer Science

Minor in Art History

Sep 2022 – Jun 2026

Stanford, CA

Relevant Coursework

CS161 (Algorithms)CS111 (Operating Systems)CS143 (Compilers)CS144 (Networking)CS205L (Mathematical Methods for Machine Learning)CS224N (NLP with Deep Learning)CS224R (Mechanistic Interpretability)CS256 (Algorithmic Fairness)

Associations

Stanford Alpha Kappa PsiStanford ConsultingASESBASESMoonshot Club
Skills

Technical Skills

Languages

PythonCC++SwiftJavaGroovySQLRJavaScriptTypeScriptHTML/CSSGo

Developer Tools & Technologies

ReactREST APIsNode.jsSwiftUIFlaskMongoDBFirebaseDockerNumPySciPyPandasMatplotlibScikit-learnPyTorchTensorFlowGitJenkinsUnix/LinuxArtifactoryKubernetes

Miscellaneous

US Computing Olympiad Silver QualifierFAA Drone Pilot LicenseHershey's Heartwarming Young Heroes