# Sean Seongwoon Jeong

> Software Engineer at VMware

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/seanseongwoonjeong

Interdisciplinary researcher bringing together information and communication technology to solve real-world problems • 5 years of programming and development experience implementing scalable data management system, IoT platform, distributed database, web service, pub/sub messaging, edge computing, mobile application and seamless data pipeline • 3 years of hands-on experience in machine learning including time-series sensor data analysis (GPR, SVR, RNN, BRNN) and computer vision (CNN, deep learning)

## Work Experience
### Staff Engineer @ VMware
Jan 2019 – Present | Palo Alto, California, United States

### Software Engineer @ Uhana
Jan 2019 – Jan 2019 | Palo Alto
Acquired by VMware

### Graduate Researcher @ Stanford University
Jan 2014 – Jan 2019 | California
Industrial Internet of Things (IoT) Platform for Condition Monitoring of Manufacturing Factory, funded by a leading global tire company (2018 - present)
• Provided solutions on transforming traditional factories into smart factories
• Enabled data-driven decision making for the enhanced factory operations by combining IoT and machine learning
• Developed an IoT platform that connects smart sensors, edge computers, distributed DB and machine learning modules 

Enhanced Structural Health Monitoring of Infrastructure Systems using Cyber-Physical Systems, funded by the NSF (2015 - 2018)
• Developed a cyber-physical system that integrates wireless sensor networks deployed on highway bridges and intelligent transportation systems through cloud computing platform for the enhanced infrastructure safety management
• Developed an event-driven, automated sensing system using computer vision and machine-to-machine communication

Cloud Computing Service for Lifecycle Bridge Monitoring, funded by the Korean Department of Transportation (2014 - 2018)
• Developed a cloud-based smart infrastructure monitoring service that leverages big data management and analytics 
• Developed a server-side system that offers scalable data management services via RESTful APIs and MQTT protocol
• Implemented a distributed database to manage massive sensor data and semi-structured/unstructured domain information 
• Enabled the diagnosis of structural problems and the prognosis for the need of structural strengthening and repairs

### Researcher @ Korea Railroad Research Institute
Jan 2013 – Jan 2014 | Uiwang, Gyeonggi-do, Korea
• Developed an RDBMS-based data management system to handle data acquired from railroad infrastructure monitoring sensors
• Participated in an R&D project for raising the speed limit of high-speed train from 220 mph to 267 mph


## Education
### PhD in Engineering Informatics in PhD Minor in Computer Science
Stanford University

### Master's degree in Civil and Environmental Engineering
Seoul National University

### Bachelor's degree in Civil, Urban and Geosystem Engineering
Seoul National University


## Contact & Social
- LinkedIn: https://linkedin.com/in/sean-seongwoon-jeong-438492125

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