Resume
Lee SeungHwan
Forward Deployed Engineer
I like understanding a system well enough to explain every tradeoff in it. Six years building and shipping inside an enterprise, and thirteen personal sites run as a single system I designed end to end.
Experience
Hyundai Department Store Group6+ years
Software Engineer
- Built Greating from launch: exhibitions, products, events, and promotions, alongside orders, membership, customer support, and infrastructure. An unusually wide scope for one engineer, and the breadth I wanted.
- Moved deployment from manual SVN to Jenkins, then led the introduction of Bitbucket and Bamboo, writing the deployment shell scripts and leading the infrastructure analysis.
- Took data modeling seriously, not just queries, and earned the SQLD (data modeling and SQL) certification.
- Led Papia, the in-house AI learning crew, and brought agentic coding into the organization. First result was a Teams webhook tracker that spread internally.
- Since November 2025, on The Hyundai e-commerce team: five global brands (COS, ARKET, & Other Stories, TOTEME, NANUSHKA) and five NCP shop-in-shops. Stack: Akamai, React, Next.js, Tomcat, Oracle.
ambitstock networkongoing
Sole operator
- Operate thirteen production sites as one system: a master and one worker agent per site, around a hundred posts a day, a human in the loop only for exceptions.
- Coordination is a mailbox and a filesystem borrowed from 1970s mail systems, chosen to be understood completely.
- Quality is held by a context budget: base specs under two hundred lines, a narrow posting spec, and automatic indexing through IndexNow.
- Built first-party analytics across all thirteen properties. About 80,000 page views a month, 97% from search. Revenue grew from $15 to $425 a month as market validation of the content.
Selected work
The ISR incidentDiagnosed a revenue drop caused by a rendering change, and learned to treat rendering as a revenue variable.
The migrationMoved every asset onto owned infrastructure with canonicals and 301s, absorbed an indexing incident, and recovered rankings.
A sentiment model, 2020A first-year logistic-regression model that classified every review by sentiment and category. It worked, and never shipped.
How I work
- Understand before abstracting.
- Measure before trusting.
- Own what must last.
- Move the bottleneck, don't fight it.
- Learn top-down, when the need is real.
LinkedIn to follow. Reach me at wizet1923@gmail.com.