Jianing Wei
Engineering Director at Google
United States
Summary
🤩
Rockstar🎓
Top SchoolJianing Wei is an Engineering Director at Google with 15+ years of deep expertise in computer vision, on-device ML, computational photography, and mobile imaging, leading applied ML efforts in Core ML and Google Research. He has a track record of turning research into shipped products—most notably driving gyro-based video stabilization and EIS for Nexus and Pixel phones—and has progressed from research roles to senior leadership within Google. His work blends academic rigor (Ph.D. in computational imaging from Purdue) with product-focused engineering, spanning camera autofocus, scene understanding, and AR/AI systems. Jianing mentors teams that deliver state-of-the-art on-device AI across Google products while maintaining a strong interest in product development and creative research. Outside of work he channels his visual sensibility into photography and keeps sharp reflexes playing pingpong—an uncommon combination that reflects both aesthetic and kinetic intuition.
12 years of coding experience
18 years of employment as a software developer
Ph.D. Computational imaging computer vision, Ph.D. Computational imaging computer vision at Purdue UniversityB.S. Electrical Engineering, B.S. Electrical Engineering at Shanghai Jiao Tong University
English, Chinese, Japanese
Github Skills (40)
calculator10
3d-reconstruction10
sparse10
mediapipe10
video-processing10
shoes10
graph-framework10
volume-rendering10
machine-learning10
cereal10
audio-processing10
inference10
bounding10
cups10
pipeline-framework10
Programming languages (4)
Github contributions (5)
google-research-datasets/Objectron
Nov 2020 - May 2021
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Contributions:7 reviews, 4 commits, 1 PR in 6 months
positionmovespythoncaptureslaptops
googleinterns/instant_motion_tracking
May 2020 - May 2020
Contributions:3 commits, 1 push, 63 comments in 1 day
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