Ruoteng
Applied Scientist at Amazon
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolRuoteng is an applied scientist based in Singapore with 11 years of experience bridging academic rigor and product-driven AI research, currently advancing generative AI at Amazon. He holds a PhD in Computer Vision from NUS and has led transformer-based solutions for image inpainting and segmentation while also evaluating and integrating large language models for code generation workflows. His background spans research roles at ByteDance, Google internships, and academic teaching at NUS, reflecting a rare mix of production-scale engineering and pedagogy. Comfortable moving projects from conception to deployment, he combines deep theoretical knowledge with hands-on model training and evaluation across multimodal tasks. An early exchange student in Munich and long-term contributor to university labs, he brings a global perspective and practical experience shipping CV features into consumer products.
11 years of coding experience
7 years of employment as a software developer
Exchange student Image processing, Exchange student Image processing at Technical University of MunichDoctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at National University of Singapore
Github Skills (18)
python10
adversarial-learning10
multistage10
optical-flow10
kitti10
pytorch9
image-restoration9
jax8
deep-learning8
tensorflow8
machine-learning8
edge-detection8
data-science8
faster-rcnn7
computer-vision3
Programming languages (4)
Github contributions (5)
liruoteng/RainStreakGen
May 2019 - May 2019
Code for Generating Rain Streaks for paper "Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network"
Contributions:6 commits, 5 pushes, 1 branch in 1 day
multistage
liruoteng/liruoteng
Dec 2017 - Jun 2025
Contributions:2 PRs, 7 pushes, 2 branches in 7 years 7 months
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