01
Build for everyone.
Technology should help more people enjoy a better world. Accessibility, performance, and inclusion aren't checkboxes at the end — they're the starting point that shapes every decision.
Available for New Projects
Gabriel Jung
Full Stack Engineer · Seoul, Korea
Guided by the motto "Building for Everyone," I devote myself to creating technology that helps more people enjoy a better world.
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Projects Shipped
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Services Running
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Years Shipping
Seoul, South Korea
Full Stack
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
Redis
Docker
AWS
C#
Prisma
Tailwind CSS
Kubernetes
C
FastAPI
C++
Rust
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
Redis
Docker
AWS
C#
Prisma
Tailwind CSS
Kubernetes
C
FastAPI
C++
Rust
01 · About
Crafting digital
experiences that matter.
I'm Gabriel Jung, a developer and builder based in Seoul, South Korea. I design and develop responsive web platforms, authentication systems, and data-driven applications, focusing on building services that work beautifully across desktop and mobile.
I run and develop projects under DoubleJ, where I work on multiple platforms including community services, authentication infrastructure, and analytics systems. My work ranges from backend architecture and cloud infrastructure to building full-stack web applications.
Recently, I’ve been designing hybrid infrastructures combining AWS and on-premise NAS systems to create scalable and cost-efficient platforms. I’m particularly interested in system architecture, developer tooling, and building products that can grow into real services.
Outside of coding, I spend time researching new technologies, improving my systems, and continuously experimenting with new ideas and projects.
Frontend
React / Next.js
TypeScript
CSS / Tailwind
Responsive Web Design
WebGL / Three.js
Backend
Node.js / Go
Python / FastAPI
PostgreSQL / Redis
GraphQL / REST
Infrastructure
Docker / K8s
AWS / GCP
CI/CD Pipelines
Terraform
Practices
System Design
Agile / Scrum
Code Reviews
Tech Leadership
Kyungbok University (Namyangju Campus)
Department of Big Data · 2024 - Present
Data Science
AI Engineering
What I'm excited about
Current areas of focus & exploration
Edge Computing
LLM Integration
Rust
WebAssembly
Distributed Systems
Open Source
Currently
Building AI products across education, forecasting, and public-sector research
Focused on personalized learning systems, predictive AI models, OCR pipelines, and production-ready web platforms.
02 · Experience
Where I've
built things.
June 2025 - Present
AI Engineer
Eduscope
Developing AI features for a personalized learning service for elementary school students, with a focus on recommendation systems, OCR workflows, and automated academic analysis.
- Designed personalized content recommendation logic using learning data analysis and student activity patterns.
- Implemented personalization algorithms based on learning history data to improve individual study experiences.
- Developed OCR-based AI models for automatic recognition of worksheets and learning materials.
- Improved image preprocessing and text extraction accuracy, then connected extracted data to the learning system for automated grading and analysis.
November 2024 - Present
CEO / AI & Web Systems Lead
DoubleJ Technologies
Leading AI forecasting model development and web service architecture design for data-driven products, while managing communication in a US-based business environment.
- Designed large-scale data analysis models and built data pipelines to support AI prediction workflows.
- Improved model performance through iterative tuning, validation, and production feedback loops.
- Designed backend APIs and optimized database structures for scalable service operations.
- Built Docker-based deployment environments to automate service delivery and ongoing operations.
- Handled English-language collaboration, documentation, and partner communication in a US business setting.
August 2025 - Present
AI Project Developer (Contract)
Ministry of Food and Drug Safety (MFDS)
Built an AI-powered prediction system and web platform for forecasting aflatoxin-related bacterial occurrence, covering planning, development, visualization, and deployment.
- Developed AI models for predicting aflatoxin-related bacterial occurrence from domain-specific datasets.
- Performed end-to-end data preprocessing and model training for reliable prediction outputs.
- Built a user-friendly website to visualize and operationalize prediction results for stakeholders.
- Led the project across planning, development, system integration, and deployment.
03 · Projects
Selected
work.
2025
01
DoubleJ SSO — Unified Identity Platform
Integrated authentication platform for the DoubleJ ecosystem, built around OIDC and OAuth2 for single sign-on, account management, and secure API authentication.
OIDCOAuth2API AuthAWS
2025
02
Irang Wiki — Community Knowledge Platform
Community-driven wiki service with collaborative editing, image uploads, and search, deployed on a PostgreSQL and NAS-backed infrastructure.
PostgreSQLNASAWSSearch
2025
03
Rangu Fam — Community Service Platform
Community platform with member management, boards, and integrated activity features, connected to DoubleJ SSO for unified login.
SSOCommunityBoardsAWS
2025
04
V(g)ACT — Global Education Program Platform
Education and international program platform inspired by Vancouver Global Affairs and Commerce Training, designed to manage program information, applications, and participant accounts.
EducationRegistrationAccountsCMS
2025
05
Airport Flight Gate Operations Management System
Operational platform for airport gate management, supporting flight schedule control, gate assignment, and real-time oversight of airport operations.
Flight DataOperationsSchedulingVisualization
2025
06
Airport Delay Congestion Analytics with ML
Machine learning analytics platform for predicting airport delays and congestion using operational flight data, forecasting models, and visual dashboards.
Machine LearningData AnalysisFlight DataDashboards
2025
07
ICN Service — Incheon Airport Data Services
Airport-focused service layer for Incheon Airport, providing flight lookup, gate information, and delay status through data-centric service interfaces.
ICNFlight LookupGate InfoDelay Data
2025
08
Aflatoxin Prediction and Analysis Platform
Contract project for the Korea Food Safety Information Service, delivering aflatoxin risk prediction, data analysis, and PDF reporting through a dedicated web platform.
AI ModelsData UploadPDF ReportsWeb Platform
04 · Principles
How I
build things.
02
Boring tech, bold problems.
I pick proven tools — PostgreSQL, Docker, plain HTTP — so energy goes into what actually matters: the novel part of the problem. Hype ages fast; fundamentals compound.
03
Ship, measure, refine.
A working v1 in front of real users teaches me more in a week than planning does in a month. I keep the loop short: deploy, observe, learn, iterate — then polish what survives.
05 · Contact
Let's build something
remarkable.
Open to full-time roles, consulting projects, and interesting collaborations. If you have a challenging problem that needs a thoughtful engineer, let's talk.