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Ian Park

Full-stack Developer
Passionate and dedicated to crafting end-to-end solutions, driven by the joy of building systems from the ground up and collaborating with fellow enthusiasts to tackle meaningful technical challenges.
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Looking for work :)
Send me a message at [email protected] or take a look at my CV for my work.
Skills
Full-Stack Development
3+ years of paid experience building web applications and APIs
React
Python
Java
Spring
Kotlin
Javascript
TypeScript
PostgreSQL
Rust
Go
Clean Architecture
Bash
TailwindCSS
System/Ops
Experience with high-performance computing and distributed systems
Docker
Redis
Kafka
RabbitMQ
Kubernetes
Helm
RPC
Linux/Unix
Language Proficiency
English(Native)
100%
Korean(Fluent)
90%
Work

Zium Knowledge Service

Full-Stack Engineer
(Mar 2025 – Present)
Naver Financial Paymoney / Naver Financial MyBiz Reporting/ Moabozo
  • Naver Financial Paymoney Adapter API Backend Development
    • Designed and developed a payment adapter API server built with Kotlin (Spring Boot).
    • Implemented Kafka-based asynchronous pipelines for external payment integrations, enabling automatic retries and latency mitigation during system failures.
    • Deployed and managed infrastructure on Kubernetes and Helm, ensuring scalability and reliability.
    • Improved system resilience to external dependency failures using Resilience4j for circuit breaking and retry policies.
    • Optimized SQL queries and introduced Redis caching, achieving over 60% reduction in average response time.
    • Enhanced operational visibility and stability by visualizing key metrics with Prometheus and Grafana.
    • Applied Clean Architecture principles, incorporating JUnit and MockK for robust unit and integration testing.
    • Strengthened security through KMS-based key management integrated with Naver’s internal systems.
  • Naver Financial MyBiz Business Reporting Service (Frontend & Backend Development)
    • Developed a financial reporting web application serving hundreds of thousands of business users.
    • Designed data visualization UIs using React and Chart.js.
    • Implemented high-performance APIs for processing large-scale financial data efficiently.
    • Built a frontend CI/CD pipeline with Playwright, Vitest, and Storybook, improving reliability.
    • Optimized communication between the Spring Boot backend and the frontend to minimize data response latency and enhance user experience.
  • Moabojo — Policy Subsidy App (Product Planning, Backend Lead, and Frontend Development)
    • Planned, led, and developed both the backend and frontend for Moabojo, a policy subsidy discovery app providing personalized government support recommendations.
    • Designed and implemented a hybrid search system combining Elasticsearch (text search) and Qdrant (vector-based personalized recommendations).
    • Implemented secure authentication architecture with OAuth2, JWT, and Refresh Token Rotation, supporting multi-device session management.
    • Developed a Kafka-based CDC pipeline for real-time embedding generation and indexing.
    • Built a Shorts-style recommendation feed with a re-ranking engine based on user impression and interaction logs.
    • Architected the Spring Boot backend using Project Loom (JVM 21+) Virtual Threads for high-concurrency performance.
    • Set up monitoring and logging pipelines with Prometheus, Grafana, Loki, and Promtail for full observability.
    • Migrated core architecture and services to MongoDB, improving scalability and flexibility.
    • Developed a GIS visualization dashboard using Mapbox to display regional policy data interactively (frontend).

Republic of Korea Army

C4I Communications Operator
(2023.05–2024.11)
Intelligence Company
  • Military Interpreter Service
    • Served as Brigade-level English interpreter during UFS/FS ROK-US Combined Training
  • Early Promotion
    • Received 3-month early promotion for excellence in military life, basic training, and specialized training
  • Military Awards
    • Ranger Excellence Award
    • Hoguk Training Award
    • Winter Training Award
    • Outstanding Soldier Award

Texas Advanced Computing Center

Software Engineer
(2020.10–2023.04)
Web & Mobile Applications
Python
TypeScript
React
PostgreSQL
Redis
Docker
RabbitMQ
Kubernetes
Angular
Django
Flask
GIS
Jenkins
Splunk
  • HazMapper · GeoAPI — Research Visualization Platform
    • Developed a research platform for processing and visualizing geospatial data related to natural disasters.
    • Designed and implemented a PostgreSQL + PostGIS architecture with a caching layer and a RabbitMQ-based event pipeline for real-time data updates.
    • Optimized tiling and preprocessing pipelines, reducing large-scale GIS data loading time by approximately 80%.
    • LiDAR-Based Data Processing and Visualization
    • Processed and visualized LiDAR (LAS/LAZ) datasets, enabling large-scale geospatial data analysis and rendering.
    • Deployed a Flask-based API in a Kubernetes environment, and automated CI/CD workflows using Jenkins.
    • Monitored logs and performance metrics with Splunk and Grafana to ensure service stability and reliability.
    • Collaborated on joint research with faculty from the University of Texas at Austin College of Engineering.
  • Core Portal / Tapis API Platform Backend Development
    • Developed the backend for TACC’s research cloud platform, supporting large-scale academic and scientific workloads.
    • Enhanced authentication and session management architecture using OAuth2 and JWT, ensuring reliable operation for thousands of researcher accounts.
    • Implemented a RESTful service layer on top of the Java-based Tapis API, enabling HPC job execution, data transfer, and metadata management.
    • Designed PostgreSQL and Redis–based session storage and access control logic, improving security and scalability.
    • Optimized Jenkins + Docker CI/CD pipelines, reducing deployment time by over 70%.
    • Mentored backend engineering interns during TACC’s summer internship program, conducting code reviews and quality assessments.

Calvin University

Research Intern
(2019.06–2020.09)
Wind Engineering Laboratory
Python
Pandas
Angular 2+
numpy
SQL
leaflet
Bokeh
  • NSF-Funded Research Platform for Natural Disaster Analysis Automation
    • Designed and built a research data platform for analyzing and visualizing natural disaster data, including tornado events.
    • Automated data preprocessing and analysis workflows using Python (Pandas, NumPy, SQL), saving over 10 hours per week of manual effort.
    • Integrated image and time-series data analysis, improving research efficiency and data quality.
    • Developed reproducible GIS web applications and dashboards using Leaflet, Bokeh, and Angular 2+ for interactive visualization.
Projects
Activities
CalvinHacks
Founder & Head of Technology
(2018–2020)
  • Founded and scaled university's first MLH hackathon to 200+ participants from 15+ universities
  • Secured $15,000+ yearly in sponsorships from 10+ tech companies including Google, Microsoft and Steelcase
  • Led technical team of 5 to develop full-stack event platform handling registration, judging, and event logistics
  • Organized workshops and mentorship programs reaching 300+ students over 2 years
Abstraction, Computer Science Club
President
(2019–2020)
  • Grew weekly meeting attendance from 15 to 40+ members through industry speaker series and hands-on workshops
  • Established partnership with university cybersecurity team to create student-led penetration testing workshop series
  • Launched mock interview program connecting 30+ students with industry professionals
Education
Calvin University
Computer Science, B.CS.
(2016.09–2020.05)
GPA: 3.52/4.00Major GPA: 3.798/4.00
Relevant Coursework
CS 374High Performance Computing
CS 364Computer Security
CS 262Software Engineering
CS 344Artificial Intelligence
Awards & Honors
  • Dean's List (All Semesters 2018-2020)
  • Trustee's Scholarship