Molly He

Software Development Engineer at Amazon Web Services (AWS)

San Jose, California, United States
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Summary

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Rockstar
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Top School
Molly He is a full-stack software engineer with a Cornell Tech MS in Information Science, currently building developer-facing AI tooling on the Amazon SageMaker AI Studio team. She brings production-grade experience in CV, AR/VR, and HCI—delivering real-time pose detection and spatial audio systems at Universal Creative and leading large-scale AR installations and patents at startups. Molly combines hands-on Unity, TensorFlow Lite, SLAM, and Llama 2 integration with practical systems work like low-latency BLE positioning and multithreaded UDP/OSC debugging. A former Cornell course assistant and XR mentor, she’s comfortable bridging research prototypes and shipped products, and has a knack for turning interactive, accessibility-focused ideas (audio navigation for visually impaired guests) into patentable solutions.
code1 year of coding experience
job1 year of employment as a software developer
bookNew York University
bookBachelor of Science - BS, Computer Science & Interactive Media Arts, 3.8/4.0, Bachelor of Science - BS, Computer Science & Interactive Media Arts, 3.8/4.0 at NYU Shanghai
bookNew York University Abu Dhabi
bookMaster of Science - MS, Information Science, Connective Media, Master of Science - MS, Information Science, Connective Media at Technion - Israel Institute of Technology
bookMaster of Science - MS, Information Science, Connective Media, Master of Science - MS, Information Science, Connective Media at Cornell Tech
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Github Skills (21)

amazon-eks10
pytorch10
python10
machine-learning-models10
data-science10
mxnet10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
huggingface10
mlops10
deep-learning10
tensorflow10

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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A library for training and deploying machine learning models on Amazon SageMaker
Contributions:141 pushes, 25 branches in 1 year 6 months
A CLI tool that helps manage training jobs on the SageMaker HyperPod clusters orchestrated by Amazon EKS
Contributions:54 pushes, 11 branches in 11 months
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