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Builds and scales Carrot’s identity platform handling millions of logins daily using Go, gRPC, and Kubernetes while balancing security, privacy, and user experience.
Designs and operates Carrot Market’s global and hyper-local network infrastructure, ensuring security, scalability, and high availability while automating operations and monitoring traffic in real time.
Research and mitigate AI-specific threats like prompt injection and LLM agent attacks, automate security testing with tools like promptfoo and garak, and embed security into AI feature design.
Builds and optimizes large-scale ad-serving systems handling billions of daily requests using microservices, real-time bidding, and ML-driven targeting for a 19M-user marketplace.
Builds and evolves the backend for ‘나의 당근’, a personalized hub that surfaces next actions using Server Driven UI and connects user activity across Carrot’s services.
Data-focused software engineer on Danggeun Market's Data Valorization team in Seoul, building scalable batch/streaming data systems, automated event logging, observability/data-quality checks, and internal data products (metrics and experiment platforms). Works with Python/Java/Kotlin/Go, AWS/GCP, and big-data tools like Spark, Flink, and BigQuery.
Builds and optimizes Daangn’s home feed system (35M+ users) by designing scalable backend infrastructure, running A/B tests, and leveraging AI to improve content serving, personalization, and experimentation speed using Go, Kafka, and Kubernetes.
Build and maintain the image and video platforms that power Carrot Market’s listings and content, optimizing delivery pipelines and multi-cloud/CDN architectures for global scale.
Software engineer on Karrot (Daangn Market)'s AI Platform team in Seoul, owning company-wide internal AI tools — LLM Router, Prompt Studio, KarrotChat, Krayon — end-to-end from problem discovery through production, working freely across frontend, backend, agent runtime, data, and infrastructure.
Backend engineer on Danggeun Market's Biz Profile CRM team, building customer-management tools (news, coupons, regulars/loyalty) that help local shop owners grow revenue — owning the full cycle from problem discovery through design, deployment, monitoring, and data analysis. Stack: Kotlin/Java, Spring Boot, MongoDB, MySQL, Redis, Kafka, BigQuery on AWS/Kubernetes.
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