Tianxiang (Jane) Gao

Software Engineer

Cupertino, California, United States4 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Android and OpenGL development.
  • Significant contributions to video playback and rendering technologies.
  • Proven track record in machine learning and video reconstruction.
Stackforce AI infers this person is a B2C Software Engineer specializing in multimedia and machine learning technologies.

Contact

LinkedIn

Skills

Core Skills

AndroidOpenglJavaFfmpegReact.jsMachine Learning

Other Skills

KotlinC/C++TypeScriptHTMLPython (Programming Language)MultimediaMATLABTensorFlowJavaScriptRESTful WebServicesNode.jsC++API

Experience

4 yrs 3 mos
Total Experience
2 yrs 2 mos
Average Tenure
3 yrs 5 mos
Current Experience

Netflix

2 roles

Software Engineer

Promoted

Jan 2023 – Present · 3 yrs 5 mos · Los Gatos, California, United States · On-site

Software Engineer

May 2022 – Aug 2022 · 3 mos · Los Gatos, California, United States

  • ● Developed a visualization app from scratch using Kotlin for a user-experience and payment authentication program.
  • ● Analyzed feasibility of HDMI 2.1 auto low latency mode (ALLM) for cloud gaming with SoC partners.
AndroidKotlin

Bytedance

Software Engineer

Sep 2020 – Aug 2021 · 11 mos · Shenzhen, Guangdong, China

  • ● Reformed video playback driver for a scalable and robust OpenGL-based rendering and compilation pipeline.
  • ● Implemented TikTok time effects (reverse, repeat, slow-motion) using ffmpeg.
  • ● Migrated an API from Java to C/C++ to support cross-platform; Affecting 0.7 million users in two months.
  • ● On-called for SDK quality assurance; Reduced the native crash rate from 35.8‰ to 1.2‰ in a month.
  • ● Designed a JNI generation script from scratch using TypeScript to automatically transfer native parameters.
JavaAndroidffmpegOpenGLC/C++

Invbots (invest bots limited)

Web Development Intern

Jul 2020 – Aug 2020 · 1 mo · Hong Kong SAR

  • Fullstack SDE.
React.jsHTML

University of tennessee, knoxville

Summer Research Intern

May 2019 – Aug 2019 · 3 mos

  • ● Elevating frame quality to 97.6% by super resolution in 2D CNN for video reconstruction.
  • ● Leveraged time-domain information and increased accuracy to 99.11% with a 3D CNN model.
  • ● Was invited to join the 2019 AI Expo hosted by Oak Ridge National Laboratory and posted project.
Python (Programming Language)Machine Learning

Education

Carnegie Mellon University

Master — Mobile and Internet of Things

Sep 2021 – Dec 2022

City University of Hong Kong

Bachelor's degree — Information Engineering

Jan 2016 – Jan 2020

Dankook University

Jun 2018 – Jul 2018

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