Dinghan Shen
Staff Research Scientist at Zoom
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDinghan Shen is a Staff Research Scientist and startup founder with eight years of experience building production-grade conversational AI and LLM-powered products for enterprises. He led ML efforts at Cresta to launch an LLM-driven auto-summarization product adopted by Fortune 500 customers, and earlier contributed to Microsoft’s Power Virtual Agent and synthetic data research. A Duke PhD in ML/NLP with 25+ top-tier publications, he blends deep research rigor with product-focused engineering and has interned at Google on large-scale synthetic data to reduce hallucination. Based in the Bay Area, he recently co-founded Trove AI to boost B2B sales productivity and now drives research at Zoom, demonstrating a rare mix of academic pedigree, startup grit, and enterprise impact.
8 years of coding experience
4 years of employment as a software developer
Middle & High school, Middle & High school at Chongqing Nankai Secondary SchoolDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Duke UniversityBachelor's degree Engineering, Bachelor's degree Engineering at Peking University
Chinese, English
Github Skills (12)
representation-learning10
pooling8
embedding7
natural-language-processing7
acl7
language-understanding7
deep-learning6
data-augmentation6
tensorflow5
nlp5
pytorch4
natural-language-understanding4
Programming languages (1)
Github contributions (2)
dinghanshen/Cutoff
Jun 2020 - Oct 2020
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".
Contributions:8 commits, 1 push in 4 months
pytorchnlpunderstandingnatural-language-understandingdeep-learning
dinghanshen/SWEM
May 2018 - May 2018
The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"
Contributions:2 commits, 29 pushes, 4 comments in 17 days
deep-learningrepresentation-learningpoolingembedding-basedword-embedding
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