Dynamic Hybrid Engineer expert in the intersection of Software, Data, and Hardware Reliability. I specialize in maximizing DRAM/HBM RAS performance by building scalable data pipelines and extracting critical insights from field telemetry. A dedicated problem solver with a strong background in fault classification and system optimization, backed by a track record of academic publications.

Contact Information

Email. [email protected]

LinkedIn. www.linkedin.com/in/hyeongshin-yoon

👩🏻‍💻 Work experience

Software Engineer

SK Hynix America

2024. 11. • Present

RAS Management Team

Managed DRAM RAS fault detection systems

• Optimized DRAM Fault Management Systems by architecting advanced RAS (Reliability, Availability, Serviceability) features, significantly enhancing system stability for DDRx technologies.
• Performed in-depth analysis of DRAM Telemetry data to extract critical reliability insights, delivering strategic technical reports to global customers to optimize memory RAS performance.
• Identified and classified complex DRAM fault patterns by analyzing large-scale field telemetry data, providing a theoretical foundation for next-generation RAS architecture.
• Engineered a scalable data pipeline using Python to aggregate and process massive DRAM telemetry logs, providing the infrastructure for high-fidelity fault analysis.
• Stack: Python, Jenkins, DRAM RAS, DRAM ECC

Software Engineer

WeSang

Order Transmission Team, Experiment Team

Developed an order transmission service

• Designed and implemented system architecture for synchronizing POS (Point of Sale) device status
• Implemented key features for both the API server and asynchronous worker systems
• Stack: Django(Python) for back-end, Java, Redis, Celery

Developed an internal A/B testing service for production environments

• Designed efficient data structures for experiment management
• Developed and implemented an admin back-office interface
• Designed and implemented a scheduling algorithm for switch-back testing
• Stack: Spring(Java) for back-end, Python for scheduling algorithm, Bootstrap for front-end

Maintained and monitored a live internal API service

• Identified and resolved incident-related action items
• Stack: Datadog, New Relic, AWS console, Grafana

Developed a web service for company workshop coordination

• Built and deployed a web service to coordinate a workshop for 300 participants
• Stack: Django for back-end, Bootstrap for front-end
• Retrospect: https://medium.com/p/3d0039f15d6e

Software Engineer

Grinder

R&D Team

Developed an internal service for A/B testing in a production environment

• Designed and optimized data structures for experiment management
• Developed an efficient gRPC microservice and an intuitive admin page
• Stack: Go and gRPC for back-end, Svelte for front-end

Created an analysis dashboard and conducted a comprehensive service analysis to facilitate business decision-making

• Stack: Mixpanel, BigQuery

Designed structured logs to analyze user behavior effectively

• Stack: Google Analytics, Mixpanel

Performed quality assurance for web service logging systems

• Stack: Mixpanel, BigQuery, Apache Superset

Conducted Multi-Armed Bandit (MAB) algorithm simulations to optimize click-through rates (CTR)

• Stack: Python, BigQuery

Developed an image classification model to detect inappropriate review images

• Stack: PyTorch

Backend Engineer Intern

Google Korea

Search Team

Enhanced media search results by unifying desktop and mobile search pipelines

• Language: C++, Java

🔬Publications

DRAM fault classification through large-scale field monitoring for robust memory RAS management

MICRO 2025

Hoiju Chung, Euisang Oh, Seungmin Baek, Hyeongshin Yoon, Jaesung Yoo, Sanghwan Lee, Yongjun Lee, Arhatha Bramhanand, Brett Dodds, Yang Zhou, Nam Sung Kim.

🛠 Skills

💻 Technology

Backend software engineering

Python, Django