Six Production Systems (Internship)
Six live operations systems for registration, scheduling, dashboards and attendance.
AI APPLICATION · PRODUCT ENGINEERING · SYSTEM INTEGRATION AI · PRODUCT · SYSTEMS
TAIWAN / UTC+8
I turn vague operational requirements into AI and full-stack systems that ship, hold up in production, and stay maintainable — from breaking down the requirement through API, data, permissions, deployment and day-to-day operations. Multiple production systems delivered, plus a merged open-source upstream contribution.
01 / IDENTITY CARD
BOYAN
AI APPLICATION
PRODUCT ENGINEER
AI · API · DATA
INTEGRATION · OPS
CAPABILITIES
From requirement breakdown through AI and system integration to production operations: the problems I solve, the tools I use, and how each one shows up in the work below.
Break vague operational requirements into verifiable flows, wire them to LLM classification, automation and APIs, and take them all the way to launch and daily operations.
Requirement breakdown · LLM integration · AI message classification · Operations automation · Product Engineering
UI, API, database, permissions and third-party services joined into one data flow. LINE, Ragic and PostgreSQL are systems I have actually integrated.
TypeScript · Node.js · Express · React · PostgreSQL · LINE API · Ragic
What happens after launch: permission audits, performance, backup and recovery, incident handling — plus content structure that both people and search engines can read.
Permissions & audit · Performance optimisation · Backup & recovery · Incident handling · SEO / AEO
TECH INDEX
Compiled from real projects, prototypes and dev environments. Depth varies by project — used is not the same as mastered.
WORK OVERVIEW
Six live operations systems for registration, scheduling, dashboards and attendance.
Aligned a self-hosted Redis proxy with digest commands; merged upstream with tests.
A capstone prototype for previewing hairstyles on a phone and booking an appointment.