Shengjun Sun
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolShengjun Sun is a data scientist and ML engineer with seven years of hands-on experience spanning research labs, fintech, and IT operations. He holds a BS in Computer Science with an AI concentration from Northeastern and is pursuing an MS in Analytics at USC, blending rigorous ML foundations with applied analytics. His projects include building Python research pipelines for sector performance analysis, automating ingestion and risk metrics for investment decisions, and developing uncertainty-aware segmentation models (VGG16 U-Net with MC Dropout) for lab imaging. In NLP research he labeled emotion-regulation strategies at scale using Llama-3.1-8B and performed topic modeling on 35K+ sentences, while also evaluating adversarial robustness of vision and language models for peer-reviewed publications. Comfortable across Python, SQL, and Tableau, he pairs experimental rigor with production-minded automation and a knack for translating complex analyses into actionable investment and research insights. Based in Los Angeles, he brings a rare combination of academic research experience and practical data engineering delivered in high-stakes settings.
7 years of coding experience
2 years of employment as a software developer
Master of Science - MS Analytics, Master of Science - MS Analytics at University of Southern CaliforniaBachelor's degree Computer Science, Bachelor's degree Computer Science at Northeastern University
Chinese, English
Github Skills (137)
similarity-search10
transformers10
parallel10
memory-efficient10
neural-search10
python10
arabic-nlp10
lda10
deep-learning10
compression10
cpp10
embedding10
information-extraction10
squad10
machine-translation10
Programming languages (8)
Github contributions (5)
umiswing/Paddle
Jun 2022 - Apr 2025
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Contributions:238 pushes, 61 branches in 2 years 10 months
pytorchparalleldeep-learningreinforcement-learningindustrial
umiswing/flash-attention
Jun 2023 - Mar 2025
Fast and memory-efficient exact attention
Contributions:47 pushes, 17 branches in 1 year 10 months
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