Peng Li
Shanghai, China
Summary
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RockstarPeng Li is a research scientist and PhD-trained computer scientist based in San Jose with seven years of experience building ML-driven data systems and LLM applications. At ByteDance he led Text-to-SQL research and productization, delivering state-of-the-art results on BIRD and Spider 2.0-Snow and shipping multi-dialect, multi-turn, streaming, and external-knowledge features used across Ads, e-commerce, and analytics teams. His academic work at Georgia Tech produced practical algorithms for learning from dirty data, fuzzy joins without labels, and human-in-the-loop cleaning that bridge data cleaning and downstream ML. Internships at Microsoft and Celonis translated into SOTA table-relationalization methods and KPI-driver discovery, with publications and awards recognized at VLDB and SIGMOD. Known as an “artist working on humanoid intelligence” on GitHub, he blends rigorous theory with product impact and a knack for creative problem framing.
7 years of coding experience
Github Skills (29)
text-generation10
in-progress10
dialogue-systems10
chatgpt9
language-processing9
datasets9
large-language-models9
natural-language-processing9
deep-learning9
keras9
nlp8
react8
machine-learning8
named-entity-recognition8
machine-translation8
Programming languages (5)
Github contributions (5)
dasepli/dasepli.github.io
Feb 2019 - Sep 2021
Contributions:806 pushes, 1 branch in 2 years 7 months
ym-feng96/LinearAlgebra
Feb 2019 - Mar 2019
线性代数、矩阵理论笔记整理
Contributions:35 commits in 19 days
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