Summary
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.
1 year of coding experience
1 year of employment as a software developer
New York University
Bachelor 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
New York University Abu Dhabi
Master of Science - MS, Information Science, Connective Media, Master of Science - MS, Information Science, Connective Media at Technion - Israel Institute of Technology
Master of Science - MS, Information Science, Connective Media, Master of Science - MS, Information Science, Connective Media at Cornell Tech