Albert Yang
Product Manager at NVIDIA
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlbert Yang is a product leader with 10 years of experience building and scaling AI-driven systems for autonomous vehicles and logistics, currently leading autonomous driving product at NVIDIA after shaping stuck resolution and planning solvers at Cruise. He blends an engineering foundation in mechanical and manufacturing systems with MBA-level business analytics and applied AI/ML training, enabling him to translate complex technical trade-offs into operationally reliable products. At Amazon he led end-to-end faster-than-same-day delivery pilots, and as a founder he launched a two-sided marketplace, showing a pattern of shipping customer-facing products from prototype to production. Known for asking pragmatic questions to learn systems deeply, he pairs hands-on curiosity (early research in EV smart charging) with a bias for experimentation and operational rigor. Based in San Francisco, he brings cross-disciplinary experience across startups, aerospace, and enterprise that helps de-risk cutting-edge autonomy programs.
10 years of coding experience
6 years of employment as a software developer
Postgraduate Program Artificial Intelligence & Machine Learning, Postgraduate Program Artificial Intelligence & Machine Learning at Texas McCombs School of BusinessUniversity of California, Los AngelesMaster of Business Administration (MBA) Business Analytics, Master of Business Administration (MBA) Business Analytics at The Wharton School
Stackoverflow
1reputation
0reached
0answers
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Github Skills (11)
genetic10
next-generation-sequencing10
sequencing10
gene-expression9
random-forest9
bioinformatics9
seq9
rna-seq8
bookdown7
r6
journal1
Programming languages (2)
Github contributions (5)
avallonking/LRTq
Jun 2019 - Apr 2021
Contributions:39 commits, 27 pushes in 1 year 10 months
avallonking/ForestQC
Jun 2017 - May 2022
Quality control on genetic variants from next-generation sequencing data using random forest
Contributions:7 releases, 1 review, 120 commits in 5 years
next-generationquality-controlrandom-forestsequencing-datagenetic
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