Jiaao Chen
Principal AI Engineer at Nebius
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolJiaao Chen is a researcher-engineer with eight years of experience building and deploying NLP and large language model systems across academia and industry, recently completing a Ph.D. at Georgia Tech. She has held roles at EigenAI (founding technical staff), Meta, and Amazon, where she focused on LLM reasoning, tool use, AI planning, and production-grade optimization like PEFT and synthetic-data pipelines. Jiaao has authored 30+ papers in top venues (NeurIPS, ICLR, ACL, EMNLP, TACL) and combines data-efficient learning research with hands-on system work such as post-training optimization and multi-agent orchestration. She’s known for bridging cutting-edge research and practical ML engineering—mentoring students, reviewing for major conferences, and delivering invited talks—bringing both experimental rigor and production sensibilities to ML products. An often-overlooked strength is her track record in designing synthetic-data and multi-agent frameworks that accelerate downstream model evaluation and tool integration.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Zhejiang UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyIntern, LTI, HCI, Intern, LTI, HCI at Carnegie Mellon UniversityComputer Science, Computer Science at Stanford University
Github Skills (48)
summarization10
computation10
interpolation10
multiview10
seq2seq10
artificial-intelligence9
conversation9
semi-supervised-learning9
sequence-to-sequence8
deep-learning8
natural-language-processing8
ai8
machine-learning8
llm-inference8
language-processing8
Programming languages (3)
Github contributions (5)
SALT-NLP/AAAI_CLF
Dec 2019 - Jun 2020
Code for "Semi-Supervised Models via Data Augmentation for Classifying Interactive Affective Responses"
Contributions:18 commits, 1 PR, 13 pushes in 6 months
data-augmentationsemi-supervised-learningdataaugmentationaffective-computingbacktranslation
SALT-NLP/Multi-View-Seq2Seq
Sep 2020 - Nov 2020
Source codes for the paper "Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization"
Contributions:30 commits, 13 pushes, 35 comments in 1 month
sequence-to-sequencesummarizationconversationseq2seqmultiview
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