Wenjie Qiu
New York, New York, United States
Summary
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SeniorWenjie Qiu is an Applied Scientist at Amazon with a decade of experience focused on large language models, reinforcement learning, and AI agents, blending industrial impact with fresh academic rigor from a PhD in Computer Science at Rutgers. His doctoral work on programmatic reinforcement learning for interpretable policies informs practical solutions that bridge LLMs and RL, and his internship stints at LinkedIn and Samsung Research America expanded that portfolio into embodied AI and agent systems. Wenjie has a track record of shipping research-driven features through Amazon internships and now full-time work, and he pairs deep technical breadth with an interest in neurosymbolic and program synthesis approaches. Fluent in Chinese and English, he brings both global perspective and a taste for creative expression—as hinted by his evocative GitHub bio—while pursuing AI that is both auditable and production-ready.
10 years of coding experience
Github Skills (43)
toolbox10
stable-baselines10
image-processing9
reinforcement-learning9
robotics9
pytorch9
python9
opencv9
interaction9
computer-vision9
deep-reinforcement-learning8
physics-engine8
deep-learning8
machine-learning8
gaussian-processes8
Programming languages (5)
Github contributions (5)
Roadsong/rutgers-cs211-recitations
Sep 2020 - Nov 2020
Contributions:23 commits, 22 pushes, 1 branch in 2 months
RU-Automated-Reasoning-Group/GCRL-LTL
Aug 2023 - Feb 2024
NeurlPS'23 Instructing Goal-Conditioned Agents with LTL Objectives
Contributions:8 PRs, 71 pushes, 3 branches in 6 months
reinforcement-learning
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