Backend & AI Developer based in Seoul, South Korea.

Passionate about backend developments, and server systems with a strong interest in AI. Always eager to learn new technologies and ready to adapt, contribute, and communicate effectively in any environment.

🔗 LinkedIn | 🐈‍⬛ GitHub | 📝 Tistory

Dongguk University · Seoul, Korea · Mar 2021 – Feb 2027 (Expected)

Bachelor of Engineering in Computer Science and Engineering

• GPA: 4.06 / 4.5
• Academic Excellence Scholarship: Spring 2021, Fall 2021, Spring 2022, Fall 2022, Fall 2025, Spring 2026

Backend & ML Developer | Mar. 2026 – Present
Procurement Demand Forecasting Service Based on Weather Data

• Modeling: Developed a regression model to predict the number of public procurement announcements based on weather conditions.
• NLP Feature Engineering: Utilized KoBERT for encoding textual features to enhance model performance.
• Backend System: Built API services using Spring Boot, FastAPI, with PostgreSQL for data storage and Nginx for reverse proxy.
• Deployment: Containerized the entire backend service with Docker Compose and visualized results through a dashboard interface.

Backend & ML Developer | Mar. 2026 – Present
Automated Complaint Classification & Department Dispatch System

• Distributed Processing: Implemented asynchronous inter-service communication using Apache Kafka for task requests and callback handling.
• AI Pipeline: Combined RAG with a custom classification model using KoBERT embeddings for accurate complaint routing.
• Backend Architecture: Designed scalable services with Spring Boot, FastAPI, PostgreSQL, and Nginx in a containerized (Docker) environment.
• Automation: Enabled end-to-end automation from complaint ingestion to department assignment with high reliability.

Backend Developer | Jan. 2026 - Feb. 2026
Remote Smishing Link Execution & AI-Based Threat Analysis Service

• Containerized Execution: Built and optimized Docker images to safely execute suspicious links in isolated remote environments.
• Threat Scoring: Designed a malicious scoring system to quantify risk levels based on execution results and heuristics.
• Cloud Architecture: Leveraged AWS Fargate to dynamically spawn analysis containers, isolating potentially harmful workloads from the main system.
• AI Explanation: Integrated AI-based analysis to provide interpretable summaries of detected threats.

Backend Developer (ETL & Data Pipeline) | Sep. 2025 - Dec. 2025
Conversational Mobile App for Location-Based Discount Recommendations

• Data Pipeline: Designed and implemented an ETL pipeline to collect and normalize promotional data from financial institutions and partner services.
• Web Crawling: Built a scheduled crawling system using Playwright, automating data extraction and ingestion into the database.
• AI Integration: Supported RAG (Retrieval-Augmented Generation) architecture by managing vector embeddings and data preprocessing for recommendation quality.
• Data Reliability: Ensured data freshness and consistency through periodic batch processing and validation logic.

• Dongguk University Computer Engineering Student Council - Administrative Staff | 2021
• Dongguk University Computer Engineering Student Council - Head of Administration | 2022
• GDG (Google Developer Groups) - Study Participant | Winter 2025
• ORACLE - Seminar Participant | Mar. 2026
• UMC (University MakeUs Challenge) - Challenger (10th) & Server Part | Mar. 2026 – Present

   

   

   

       

• 📧 tdw0312@gmail.com
• 📱 +82 10 8767 4204