Tam Tran
Machine Learning Engineer at Apple
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolTam Tran is a machine learning engineer with nine years of experience specializing in computer vision and applied research, currently building object detection and tracking pipelines for Apple Vision Pro. With a strong foundation in applied mathematics (UC Berkeley) and an MS in Computer Science from TUM, Tam has moved ideas from research—adapting 2D detection frameworks to 3D point clouds—to production-grade systems in Python and C++. Past internships span robotics, NLP, and large-scale competitions (notably a top-5 finish in Germany’s Google Hash Code), reflecting both algorithmic rigor and practical engineering. Tam’s profile blends academic depth with production experience on real-world sensor data and occlusion-robust vision models, and he combines curiosity about novel perception problems with a track record of shipping deployed ML components.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.), Applied Mathematics, Bachelor of Arts (B.A.), Applied Mathematics at University of California, BerkeleyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technical University Munich
Vietnamese, German, English
Github Skills (71)
python10
deep-learning10
gpu10
computer-graphics10
mesh-processing10
rendering10
odometry10
open3d10
machine-learning10
numpy9
cluster-computing9
acceleration9
opengl9
neural-network9
voc9
Programming languages (4)
Github contributions (5)
triple-tam/FasterPointRCNN
Oct 2019 - Apr 2020
Contributions:8 pushes in 5 months
triple-tam/PointNet2_PyTorch
Apr 2019 - Jun 2019
Contributions:12 pushes, 1 branch in 1 month
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