Seoul, South Korea Β· relocation in progress

A personal pipeline that
hunts Data & AI jobs
in Korea, so I don't have to.

Every day it pulls fresh listings, reads each one against my CV with an LLM, scores the fit, and messages me only what's worth my time.

daily_pipeline.py
$ python agent/daily_pipeline.py
πŸ“Š 14 offers today  Β·  πŸ†• 6 new
[1/6] MinIO β€” Site Reliability Engineer β€” 72%
[2/6] Naver β€” Data Analyst β€” 88%
[3/6] 42dot β€” Technical PM β€” 31%
...
🏁 Done β†’ 2 offers above threshold today
βœ” Telegram summary sent
How it thinks about a job offer

Three layers, one pipeline

01 Β· Analyst

See the market

A live dashboard of every tracked offer β€” technologies in demand, visa-sponsorship signals by source, and district-level trends across Seoul.

02 Β· Scientist

Score the fit

An LLM reads each offer against my CV and extracts structured signals: tech overlap, visa likelihood, role and education fit β€” turned into one deterministic match score.

03 Β· AI Engineer

Act on it daily

A scheduled pipeline sources new listings, evaluates only what's genuinely new, and sends today's best matches straight to Telegram β€” no manual checking.

Data sources

Built to pull from more than one place

Loading last run…

Today's best matches

Loading latest results…

Built with

Tech stack

Python pandas Streamlit Claude (Anthropic API) Telegram Bot API GitHub Actions