Xiang Jiang
Senior Applied Scientist at Amazon
United States
Summary
🤩
Rockstar🎓
Top SchoolXiang Jiang is a Principal Applied Scientist with nine years of experience applying machine learning and deep learning to production problems across research and industry. He progressed from research roles during his PhD at Dalhousie and internships to applied science positions at Amazon and now Microsoft, bridging novel algorithms with scalable product deployment. His background includes a PhD in Machine Learning and Deep Learning and an MSc in AI, giving him deep probabilistic and neural modeling expertise that he translates into real-world systems. Known for moving research prototypes into production, he has experience across both research-heavy and product-driven environments. Colleagues appreciate his ability to mentor engineers while keeping a strong research mindset, often spotting subtle model failure modes before they impact users.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Machine Learning and Deep Learning, Doctor of Philosophy (PhD) Machine Learning and Deep Learning at Dalhousie UniversityMaster of Computer Science Artificial Intelligence, Master of Computer Science Artificial Intelligence at Acadia University
English, Chinese
Stackoverflow
3,216reputation
299kreached
5answers
27questions
Github Skills (56)
machine-learning10
reinforcement-learning10
deep-learning10
adversarial-learning10
language-modeling10
nlp10
transformer-architecture10
parallel9
pytorch9
java9
python9
image-translation9
language-model9
few-shot-learning9
optimization9
Programming languages (4)
Github contributions (5)
xiangjjj/implicit_alignment
Jun 2020 - Mar 2021
Contributions:15 commits, 14 pushes, 1 branch in 9 months
wuhaotju/TrajectoryNet
Apr 2017 - Jul 2017
Contributions:24 commits in 2 months
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