Kage Shen
Shenzhen, Guangdong Province, China
Summary
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SeniorNan Shen is a Senior Machine Learning Engineer based in New York with 13 years of experience and a PhD in Genetics and Data Science, blending deep biomedical expertise with production ML systems. She has led end-to-end projects from novel microbiome time-series algorithms in academic research to deploying glycemic response models and RAG-driven personalized recipe systems at Viome. Currently focused on making American healthcare more acceptable at Sheer Health, she specializes in applying LLM fine-tuning, retrieval-augmented generation, and scalable AWS-based pipelines to clinical and consumer problems. Her work uniquely combines high-impact translational research (faster, more accurate microbiota clustering and discovery of bacterial cliques linked to metabolic outcomes) with demonstrated production metrics (e.g., saliva model AUC 0.99). Known for a curious, product-minded approach—“Stay Hungry, Stay Foolish”—she bridges biology, machine learning, and productization to move models from insight to real-world use.
14 years of coding experience
Github Skills (15)
python-bindings8
music-information-retrieval8
sound-processing8
music7
audio6
audio-activities5
python5
cpp4
audio-analysis4
voice-detection3
segmentation3
voice-activity-detection2
android-tools1
ddmlib1
android1
Programming languages (2)
Github contributions (5)
kgat96/ubermini
Nov 2016 - May 2019
Contributions:91 commits, 83 pushes, 2 branches in 2 years 6 months
kgat96/blog
Feb 2015 - Aug 2022
Contributions:70 commits, 66 pushes in 7 years 7 months
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