# Jaeyong Sung

> ML Engineer @ Roblox | ex-YC Founder | Stanford AI Postdoc

Location: San Francisco, California, United States
Profile: https://flows.cv/jaeyong

Research - https://jaeyongsung.com/

## Work Experience
### Principal Software Engineer @ Roblox
Jan 2023 – Present | San Mateo, California, United States

### Co-Founder / CTO @ Jido (acquired by Roblox)
Jan 2017 – Jan 2023 | San Francisco, California
Jido is a computer vision company that enables retailers to create contactless, physical to digital shopping experiences. Jido has patented core technology in the areas of 3D product detection, in store localization, and augmented reality. Jido’s team started in the Stanford Artificial Intelligence Labs and is composed of technical specialists with backgrounds in computer vision, robotics, and deep learning. Since its founding in December 2017, Jido’s technology has been deployed by the world’s largest retailers across 1000’s of physical spaces on 6 continents.

### Postdoctoral Scholar @ Stanford University
Jan 2017 – Jan 2017 | Stanford, CA
Stanford Artificial Intelligence Laboratory (SAIL) 
http://www.stanford.edu/people/jysung

### Visiting Student Researcher @ Stanford University
Jan 2015 – Jan 2017 | Stanford, CA

### PhD / Research Assistant @ Cornell University
Jan 2012 – Jan 2017 | Ithaca, New York Area
Thesis: Deep Multimodal Embedding

Cornell Robot Learning Lab
www.jaeyongsung.com

### Software Engineer @ Amazon.com
Jan 2011 – Jan 2012 | Herndon, VA
AWS - Elastic Compute Cloud (EC2) - VM Import/Export

* took lead in designing/implementing major workflow as well as database design prior to launching AWS VM Export
* took lead in integration/deployment/end-to-end testing prior to successful VM Export service launch
* took lead in developing fast detection of bad machine images for VM Import which greatly reduced customer frustration
* identified problem in deployment process for VM Import/Export and reduced deployment time from almost full day of an engineer to a few line of command line tools
* developed internal automatic deployment prep tools which prepares deployment of service component in all AWS regions
* built components leveraging other AWS services including S3, EC2, EBS, and RDS

### Software Engineering Intern @ Google
Jan 2010 – Jan 2010 | Mountain View, CA
Android OS soft keyboard word completion improvement

* improved word prediction algorithm for soft keyboard of Android OS
* expanded word prediction model from uni-gram model to bi-gram model
* generated tools for filtering massive English dictionary and generated compact dictionary

### Intern @ Samsung Electronics
Jan 2009 – Jan 2010
mobile WiMAX chipset

* implemented different types of ARQ (Automatic Repeat Request) feedback for mobile WiMAX chipset and analyzed performance of each type
* learned to develop embedded system using ARM processor


## Education
### W18
Y Combinator

### Doctor of Philosophy (Ph.D.) in Computer Science
Cornell University

### B.S in Computer Science
Cornell University


## Contact & Social
- LinkedIn: https://linkedin.com/in/jaeyongsung
- Portfolio: http://www.jaeyongsung.com

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Source: https://flows.cv/jaeyong
JSON Resume: https://flows.cv/jaeyong/resume.json
Last updated: 2026-04-12