Chaeyeon Back | Resume

Contact.

📧 Gmail

Backend engineer focused on automating repetitive manual tasks and enhancing service reliability.

I believe real value comes from supporting better user experiences beyond just technology implementation.

Through startup internships and entrepreneurship club activities, I gained experience across development, operational automation, and monitoring.

I take ownership of problems, collaborate with teams to refine questions, and iterate on solutions to deliver meaningful results.

I am eager to join a proactive team where I can solve problems with technology and contribute to business success.

AI‑based Legal, Regulatory, and Policy B2B SaaS Platform [🔗 Codit]

Interactive Policy AI Agent “ChatCodit”
- Orchestration for large‑scale crawling and scheduling; reduced missing‑data by 99% and improved processing speed by 30% via schema standardization and resilient collectors
- Built an automated bill collection system for all 50 U.S. states using Puppeteer·Axios with an Airflow pipeline
- Designed a scheduler algorithm based on the bill’s latest update date lastAction to automate periodic updates by progression stage
National Assembly Bill Information System Maintenance
- Refactored pipelines to fully restore bill data missing after a major system revamp
- Designed and operated an end‑to‑end pipeline separating list and detail collection, improving processing speed by 30% and search index quality
Internal Service Operations and Enhancements
- Owned DAG inventory, runbooks, alerting rules, and secrets rotation to keep automation assets reliable and auditable
- Developed new REST API features and addressed bugs in parallel, prioritized by impact
- Resolved issues within SLA to secure service stability and improved transparency in deployment and operations across teams

Node.js, Express, Javascript, Typescript, Axios, Cheerio, Puppeteer, MySQL, Elasticsearch, Docker, Airflow, Grafana, Prometheus, Loki

Developed an internal training website and admin page for 1,700 employees

Designed role‑based REST APIs for users/admins and implemented core BE features
Improved usability by analyzing and addressing pain points based on real operator feedback
Advanced admin features contributed to 100% attendance and higher on‑site satisfaction

Spring Boot, Java, MySQL

AI Quality Control Collaboration Platform based on Digital Twin

Industry‑academia project with Doosan Industrial Vehicle to build an automatic defect cause/part classification system and decision support for quality control using field claim data
Addressed multilingual and unstructured text issues by designing a preprocessing and classification pipeline with GPT translation + TF‑IDF
Built a Django website providing real‑time async validation and dashboards → reduced validation lead time and improved prediction accuracy by 8%
Strengthened reproducibility and practitioner usability through team‑based preprocessing and architecture design collaboration, received Best Paper Award

Django DRF, Python, ChatGPT API, TF‑IDF, KoNLPy