Tommy Xiong
Software Engineering Manager at Apple
Belmont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTommy Xiong is a software engineering manager and computer vision specialist with 7 years of experience building AR-driven mobile products and ML-powered vision pipelines. Currently leading the Creativity Apps team at Apple after scaling mobile and cross-platform engineering at Hover, he blends hands-on C++/Python algorithm work with product-facing iOS/ARKit leadership. His background spans end-to-end systems—from data pipelines, cloud deployment (GCP/AWS, Docker, Kubernetes) and deep learning (TensorFlow/PyTorch) to mechatronics and robotic research done at Columbia. An active educator and content creator known as “同济子豪兄” on Bilibili, he’s contributed practical XAI tooling and custom-dataset training code to public repos that reflect iterative, experiment-driven development. Collected academic training at Columbia and Georgia Tech underpins a pragmatic approach to turning research ideas (e.g., drone autonomy and LSTM pilots) into production features.
7 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Engineering, Bachelor of Science - BS, Engineering at Tongji UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyMaster of Science - MS, Mechanical Engineering (Robotics), Master of Science - MS, Mechanical Engineering (Robotics) at Columbia University
English, German, Japanese, Chinese
Github Skills (9)
computer-vision10
pytorch10
machine-learning10
matlab10
dataprep10
python10
image-classification10
datasets10
data-set10
Programming languages (12)
Github contributions (5)
TommyZihao/zihao_course
Oct 2022 - Mar 2023
同济子豪兄的公开课
Role in this project:
ML Engineer
ML EngineerContributions:129 commits, 124 pushes, 1 branch in 4 months
Contributions summary:Tommy contributed to the project by uploading MATLAB files related to explainable AI (XAI). Their work focused on implementing and analyzing various XAI techniques, including CAM, Grad-CAM, and LIME, as applied to image data. The commits involved adding MATLAB code for different XAI methods and also included analyses related to the sensitivity of image local occlusions. The uploaded files span multiple iterations and date stamps, implying an iterative development and refinement of the XAI analysis methodologies.
TommyZihao/Train_Custom_Dataset
Jul 2022 - Jan 2023
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
Role in this project:ML Engineer
ML EngineerContributions:224 commits, 1 PR, 394 pushes in 5 months
Contributions summary:Tommy's commits focus on the development and training of a custom machine learning model for image classification using a custom dataset. The commits involve data preparation, including splitting the dataset into training and testing sets. The user also worked on preparing the dataset for training and deploying a custom AI model.
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