# Kairen Ye > Engineering @ Meta Location: San Francisco Bay Area, United States Profile: https://flows.cv/kairen ## Work Experience ### Staff Software Engineer @ Meta Jan 2020 – Present | Menlo Park, CA - Avatar experiences - Metaverse commerce - VR Ads ### Teaching Assistant @ Stanford University Jan 2020 – Jan 2020 | Stanford, CA EE382A: Parallel Processors Beyond Multicore Processing ### Software Engineer Intern @ A9.com Jan 2019 – Jan 2019 | Palo Alto, CA Fashion Generative AI in the Visual Search & AR Group ### Research Assistant @ Stanford University Jan 2019 – Jan 2019 | Stanford, CA Embedded Depth Perception & Lidar/Stereo Sensor Fusion for Self-Driving Cars ### Machine Learning Engineer Intern @ miiCloud Jan 2018 – Jan 2019 | Sunnyvale, CA Facial recognition with a focus on 2D/RGB spoof detection ### Product Management Advisor @ Adesto Technologies Jan 2018 – Jan 2018 | San Francisco Bay Area Defined the minimum viable product for a new industrial IoT networking solution in the oil and gas industry ### Machine Learning Engineer Intern @ 寒武纪 Jan 2018 – Jan 2018 | Beijing, China Built real-time object detection (YOLOv3) performance benchmarking for proprietary machine learning accelerator ### Advisory Intern @ KPMG US Jan 2017 – Jan 2017 | Greater Atlanta Area Data Team, Deal Advisory ### Firmware Engineer Intern @ Intel Corporation Jan 2017 – Jan 2017 | Sacramento, California Area Enterprise-grade NAND SSDs ### Research Assistant @ Center for Signal and Information Processing, Georgia Tech Jan 2016 – Jan 2016 | Greater Atlanta Area - Unscented Kalman Filter for wheelchair push detection - Advised by Prof. Mark Davenport ## Education ### Master of Science - MS in Electrical Engineering Stanford University Jan 2018 – Jan 2020 ### Bachelor of Science - BS in Computer Engineering Georgia Institute of Technology Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/kairenye --- Source: https://flows.cv/kairen JSON Resume: https://flows.cv/kairen/resume.json Last updated: 2026-03-23