AI · AX Product Engineer
End repetitive on-site friction with systems teams actually use
I resolve manual data collection and operational bottlenecks with automated pipelines and web products.
2.4B to 30B KRW annual revenue
2 yrs in companies · 3+ yrs founding
From data pipelines to web ops
Featured Operational Systems · Production Systems
Cut repetitive on-site work with custom-built systems
Here are the two production systems used by real operators on site.
Cut bid notice shortlisting time from 30 to 10 minutes
Unified repetitive manual bid hunting and spreadsheet logging into a single dashboard.
Live workflow recording · Filtered bid exploration and shortlisting dashboard
01 · 기존 병목 (Before)
Manual cross-checking across multiple bid portals
Manually tracking notices across portals into spreadsheets led to recurring omissions.
02 · 만든 시스템 (System)
Automated item-code matching and custom column views
Automated scrapers filter candidates so operators record decisions and notes immediately.
03 · 바뀐 결과 (After)
Omission prevention and replacing paid legacy services
Reported by client bidding team · verified by 2,621 notices, 56 candidates, and demo video.
Unified device operations scattered across 4 screens into one
Consolidated device edits, repair histories, and classroom lookups into a single console.
Production screen (sensitive info redacted)
01 · 기존 병목 (Before)
Complex MDM navigation and delayed repair tracking
Cumbersome navigation in legacy MDM interfaces delayed device status checks.
02 · 만든 시스템 (System)
Sign-in-free class lookup and 1-click status updates
Separated teacher lookup from admin edits and prevented concurrent edit conflicts.
03 · 바뀐 결과 (After)
Single-screen workflow deployed in production
Verified via September 2026 deployment records and redacted production screens.
Work Experience & Colleague Proof
Built data pipelines and full-stack products across 4 companies
See the bottlenecks reduced at each organization alongside direct feedback from teammates.
Built and operated 10+ custom web and AI systems from discovery to production
Even without a spec, I interview practitioners to pinpoint bottlenecks and build production tools.
Cut daily data checks across 6 brands from 2–3 hours to under 10 minutes
Automated multi-brand sales and marketing pipelines and daily KPI reports for fast decisions.
Collected 90,000 product records and refreshed 10,000 weekly via automation
Built automated luxury price and image collection systems to power market analysis and AI grading.
Analyzed 90,000 water-supply rows to identify 84% of leaks at pipe joints
Cleaned municipal water-supply records and built leak-cause models and visualizations.
Feedback from colleagues I worked with
Beauty Selection Teammates · Masked Names-
Fast Execution · Automated Alerts
“He quickly developed notifications for upcoming paid-subscription expirations.”
박민* · Beauty Selection Teammate
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Schedule Ownership · Seller Ops
“He took responsibility for completing the sales notification feature in just one week. It will be a great help in communicating with sellers about sales.”
김서* · Beauty Selection Teammate
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Proactive Diagnosis · Concrete Fixes
He proactively identified the issue, clarified what was needed, and proposed specific improvements.
박재* · Beauty Selection Teammate
How I Work & Hiring FAQ
How I work and answers to common hiring questions
Cut the most time-consuming manual work first
I automate the core path where teams feel an immediate time difference.
Connect pipelines and web screens in one flow
I build backend data collection and practitioner dashboards together.
Build screens people use without a manual
I prioritize intuitive interfaces that fit existing daily workflows.
Leave verifiable screens and operational metrics
I verify time saved alongside access control and privacy safeguards.
Q1. After founding and shipping client systems, why join a company engineering team now?
Beyond building 0-to-1 systems solo, I want to grow a single product deeply alongside a dedicated team.
Q2. Are you stronger in data engineering or full-stack web development?
I have production experience in both ETL pipelines and operational web consoles. I deliver the fastest impact where data pipelines and user workflows meet, such as internal AX tools.
Q3. How do you onboard and contribute during your first month on a team?
In week one, I map data flows and team bottlenecks via core docs and 1-on-1 coffee chats, then ship a tangible automation or UI fix within the first month.
Q4. What led to transitions between previous teams and what is your criteria for joining?
I align transparently with team leads on concrete roles and operating plans before joining. Past transitions followed project handoffs, and after founding, I now seek to grow deeply with a dedicated team.