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I am interested in building practical services with backend, cloud, and AI technologies. Through team projects, I have worked on Kubernetes-based MSA, LLM-powered APIs, and RAG service operations while focusing on reliability, troubleshooting, and user-oriented implementation.

• Sungshin Women's University B.S. in Computer Engineering
• SKALA (SK AX) – SKALA Cloud Program (2025.12.29 – 2026.06.25) Completed project-based training across cloud-native architecture, Kubernetes, DevOps, web service development, database optimization, and generative AI service design, including RAG pipelines and AI agents.

Category	Tools & Technologies
Cloud & Platform
DevOps & GitOps
Backend & Web
AI & Data
Data & Messaging
Observability & Security
Languages

• Supported chapter operations as part of the education team and assisted the lead in running regular member programs.
• Prepared and delivered technical education sessions for monthly chapter meetings. (Included technical onboarding topics such as Google technologies, TensorFlow basics, GitHub usage, and competition preparation.)

• Prepared and hosted monthly chapter sessions throughout the term, while running two seasonal study programs to maintain member engagement and growth.
• Planned and executed team building, ideathons, and project showcase events with the core team to support members' project development.
• Supported members' Google Solution Challenge journey by organizing collaboration structures from idea discovery to team formation and final presentations.
• Co-hosted community events with other GDSC chapters, including hackathons and sessions for women student developers.
• Contributed to the broader GDSC community by participating as staff in external chapter events beyond the university.

• Joined a cloud community to deepen self-directed learning and participated in Istio and Terraform study groups.
• Practiced shared learning by exchanging study insights with peers and expanded cloud perspectives through community events and conferences.

• 2023 Software Competition - Silver Prize: Developed a university community platform UniUnity.
• 2025 MADE IN SUNGSHIN - Grand Prize: Developed a family community platform GAMO-2025.

• Cloud-Native MSA Transformation: Implemented GKE-based Kubernetes architecture for a Node.js microservice platform.
• Developed partner-service and structured service-to-service communication using RabbitMQ-based asynchronous messaging.
• Refined service boundaries and communication flows to reduce unnecessary dependencies and improve domain cohesion.
• Improved deployment and runtime reliability by troubleshooting container startup order, health checks, and distributed service failures.

Focus Areas: Microservice Architecture, Asynchronous Communication, Service Reliability, Cloud-Native Deployment
Tech Stack: GKE, Kubernetes, Docker, Docker Compose, RabbitMQ, Node.js, Express, MySQL, Nginx Ingress

• LLM-based API Development: Built keyword extraction, topic recommendation, and letter correction APIs using Gemini.
• Improved prompt quality with few-shot examples to preserve STT context and generate intent-aligned responses.
• Improved API reliability by guiding LLM outputs into JSON format and handling markdown/code-block artifacts.

Focus Areas: LLM API Integration, Prompt Engineering, STT Post-processing, API Reliability
Tech Stack: Gemini API, FastAPI, Python, MySQL, Jenkins, GCP

• AI Service Platform: Built AWS EKS operating environment for a RAG-based AI onboarding service.
• Designed SaaS multi-tenant transition with GitOps, namespace isolation, Argo CD Applications, and NetworkPolicy.
• Implemented tenant-level monitoring dashboard for cost, traffic, quality, and infrastructure health.

Focus Areas: AI Service Operations, Multi-Tenant Architecture, GitOps Delivery, Observability, Operational Collaboration
Tech Stack: AWS EKS, Terraform, Kubernetes, Argo CD, Jenkins, Prometheus, Loki

• LinkedIn: https://www.linkedin.com/in/jihyun-park-98137328b
• Email: pjhyun0225@gmail.com