I'm a Senior Software Engineer with 7+ years of experience across backend development, cloud-native data platforms, and factory process automation. I love taking complex systems apart, understanding them fast, and rebuilding them as clean, scalable solutions. These days I focus on architecting GCP data pipelines, driving AI-powered automation initiatives, and mentoring junior engineers. Currently pursuing an M.S. in Computer Science (AI/ML focus) at The University of Texas at Austin.
- 🔭 Building GCP data pipelines & AI-powered automation at Charles Schwab
- 🌱 Deepening my AI/ML expertise as a graduate student at UT Austin
- 👯 Passionate about mentoring junior engineers and championing cloud best practices
- 🌏 Bilingual in English & Korean
- ⚡ Fun fact: I went from automating car factories at GM to automating financial data pipelines at Schwab
AI-Powered Pipeline Automation — Built a GitHub Copilot workflow (reverse-engineer → build memory → iterative training → validate → automate) that cut a 40-hour pipeline configuration process down to ~10 minutes, driving significant annual cost savings for the team.
Cloud & DevOps
GCP Data Engineering
Languages & Frameworks
Databases & Search
Dev & Monitoring Tools
Industrial Automation
💼 Senior Software Engineer · Manager @ Charles Schwab 
- ⚡ Led an AI-powered automation initiative with GitHub Copilot (reverse-engineer → build memory → iterative training → validate → automate) that cut a 40-hour pipeline configuration process down to ~10 minutes, driving significant annual cost savings.
- Mentor junior engineers on GCP best practices: secure coding, cost optimization, and efficient data-processing patterns.
- Built a generic, event-driven data ingestion framework (Pub/Sub, Cloud Functions, Spring Boot) with a companion monitoring system that verifies completed events for end-to-end processing reliability.
- Drove the migration of a mission-critical on-prem application to a cloud-native architecture on GCP (Cloud Run, Airflow), improving scalability and cutting operational overhead.
- Managed GCP infrastructure as code with Terraform (VPC, IAM, Cloud SQL) and designed a multi-region disaster-recovery strategy with reusable modules.
- Designed and optimized high-performance ETL pipelines in Apache Beam & Dataflow, and shipped a custom front-end beyond Superset for interactive, drill-down financial dashboards.
🏭 Software Engineer · Subject Matter Expert @ General Motors 
- Architected the breakup of a large monolith into 6 resilient microservices, significantly improving stability and reliability.
- Built backend APIs (Spring Boot) exposing factory-floor configuration data for BI analysts and data scientists across GM's global manufacturing automation platform.
- Implemented cross-service transaction management through a RabbitMQ message broker.
- Served as SME, leading daily training sessions on the application's data pipelines for developers of all levels.
- 🏅 Recognized as a Top 10% Engineer and awarded the Critical Technical Talent (CTT) bonus, with multiple retention grants and consistently high-performance reviews.
The University of Texas at Austin 
The University of Texas Rio Grande Valley 
- 🇰🇷 Microsoft Student Partner (2015 – 2016) — One of 100 students selected in Korea; mastered C# & XAML and won a Top 10 innovation prize at Imagine Cup Korea.
✈️ Staff Sergeant, Republic of Korea Air Force (2011 – 2013)