Yixin Nie
Research Scientist at Meta
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYixin Nie is a Research Scientist at Meta with a decade of experience building and evaluating conversational AI and ML systems. He holds a PhD in Computer Science from UNC Chapel Hill and earlier degrees from The University of Chicago and China University of Geosciences, blending strong academic foundations with practical research impact. At Meta and in open-source projects like ParlAI, he contributes across the full stack—implementing dataset integrations, fixing MTurk workflows, and improving build and documentation processes—demonstrating both engineering breadth and ML depth. His GitHub persona, "a human in the maze," reflects a curiosity-driven approach to complex dialogue systems and tooling. Based in Sunnyvale, CA, he is comfortable moving between research prototypes and production-ready integrations, with a particular knack for dataset engineering and reproducible evaluation.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer and Information Security, Bachelor's degree, Computer and Information Security at China University of GeosciencesMaster's degree, Computer Science, Master's degree, Computer Science at The University of ChicagoDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
machine-learning10
python10
natural-language-processing9
nlp9
build-automation8
documentation7
data-engineering6
react5
web-development5
testing4
tensorflow4
Programming languages (3)
Github contributions (5)
facebookresearch/ParlAI
Jun 2019 - Jul 2021
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Role in this project:
Full-stack Developer & ML Engineer
Full-stack Developer & ML EngineerContributions:8 commits, 8 PRs, 3 branches in 2 years 1 month
Contributions summary:Yixin contributed to multiple areas within the ParlAI framework, showcasing a broad skillset. They fixed a bug in the MTurk qualification flow, updated the build process for new file types, and added support for a new dataset (DECODE) by implementing associated agents and build configurations. Further, they addressed issues related to project documentation and dataset cleaning, highlighting a focus on the overall project development, integration, and maintenance.
nlpdeep-learningdatasetmachine-learningtraining
easonnie/combine-FEVER-NSMN
Nov 2018 - Aug 2021
This repository provides the implementation for the paper "Combining Fact Extraction and Verification with Neural Semantic Matching Networks".
Contributions:27 commits, 1 PR, 25 pushes in 2 years 9 months
pytorchnlpextractionfactmatching
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