Me

Research Assistant

• - Developed and optimized a real-time pose detection model for medical equipment, utilizing video feeds from a single-view camera, and improved model accuracy through data augmentation and active learning techniques.
• - Engineered a camera array for real-time video streaming, achieving a 4x reduction in latency, significantly improving system responsiveness for user interactions.
• - Optimized Python to C++ code conversion, boosting initialization speed by 5x and reducing inference costs, enhancing overall efficiency and scalability.
• - Designed and implemented camera rotation and translation functions for reconstructed 3d scene, facilitating natural user interaction with precise control and positioning for enhanced spatial accuracy.

iOS Engineer Apprentice

• - Architected and delivered celebration animation for user referrals with combination of Lottie and SwiftUI animations. Serving over 20 million users with high performance.
• - Achieved a significant reduction in support tickets by developing SwiftUI components to streamline phone number authentication, in collaboration with cross-functional teams.
• - Modernized legacy UIKit and Obj-C code by transitioning to SwiftUI and Swift, preserving original functionality without introducing new bugs. Implemented unit test and iIntegrated CI/CD pipelines to automate testing and ensure seamless deployment.
• - Proactively identified, analyzed, and resolved app crashes on new version releases leveraging Firebase, enhancing overall user experience and app stability.

Software Engineer Intern

• - Boosted performance by 10% through complete rewrite of the frontend with Vue3 and Nuxt3 including server-side rendering. Created a UI library to streamline development.
• - Achieved 6 month growth of over 400 times with new designs and features, through agile development and data-driven decisions with Google Analytics.