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 (20)
optical-flow10
structure-from-motion10
data-science9
pytorch9
python9
machine-learning9
deep-learning9
edge-detection9
evolution8
tensorflow8
jax7
faster-rcnn6
neural-network6
caffe4
computer-vision4
Programming languages (2)
Github contributions (5)
liruoteng/FlowNet
Jun 2016 - Jul 2017
Modified Version of FlowNet, specifically for adversed environment optical flow
Contributions:33 commits, 1 PR, 24 pushes in 1 year 1 month
opticaloptical-flowmodified
liruoteng/liruoteng.github.io
Feb 2019 - Mar 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:41 pushes in 5 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
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