Chuanneng Sun
Applied Scientist II at Amazon
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolChuanneng Sun is an Applied Scientist II with nine years of experience specializing in LLM fine-tuning, post-training and RL-based methods, currently advancing production-scale LLM workflows at Amazon. He holds a PhD in Electrical and Electronics Engineering from Rutgers and brings a strong research-to-production pedigree from internships at Meta, Uber AI, and AT&T Labs where he developed multi-task LLM rescoring, distributed contextual bandits, and cascade RL for network traffic steering. Comfortable bridging academia and industry, he continues research and teaching work at Rutgers while applying techniques like LoRA, 8-bit quantization, and counterfactual evaluation in real systems. Known for combining principled probabilistic approaches (Thompson sampling, UCB) with practical deployment on platforms like Michelangelo, he’s skilled at turning novel research ideas into scalable ML components. Based in Piscataway, NJ, he pairs deep model expertise with systems thinking, often optimizing for both model performance and operational constraints.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.56/4.0, Bachelor of Science - BS, Computer Science, 3.56/4.0 at Hefei University of TechnologyDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Rutgers University
Github Skills (42)
python10
simulator10
unreal10
control-systems10
deep-reinforcement-learning10
airsim10
platform-independent10
artificial-intelligence9
robotics9
simulation9
machine-learning9
tensorflow9
self-driving-car9
ai9
deep-learning9
Programming languages (3)
Github contributions (5)
CSUN1997/MARL_3d_recon
Oct 2019 - Jan 2022
Contributions:27 commits, 24 pushes, 1 branch in 2 years 2 months
CSUN1997/BlueRov2WaterSim
Jan 2022 - Nov 2022
Contributions:7 pushes, 1 branch in 10 months
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