About
Engineer · Builder · Productization Practitioner
I build systems, measure what actually happens, and turn the useful ones into products and public evidence.
I started with low-level software — embedded Linux, BSPs, device drivers, NAND flash and communication stacks.
Over more than two decades the work moved upward: devices, distributed systems, remote management, AI inference, and eventually productization.
The common thread has stayed the same: taking something uncertain and making it operational.
Embedded systems · Linux · Edge AI · distributed systems
Not ideas about systems — systems that run.
Benchmarking · instrumentation · failure analysis · operational limits
Not stopping at "it works" — how much, and where it breaks.
Packaging · positioning · deployment · go-to-market
Not stopping at a demo — a form that can leave the building.
Open source · Edge NPU Cluster
NPUDure
Open-source distributed inference runtime built on three RK3576 NPUs. 421 hardware measurements, 3.00× measured 1→3 node scale-out — and the findings that almost stopped it.
Product · live
AI Arcade
A browser-based collection of small AI experiences designed around direct interaction rather than passive demos.
Applied AI research · in progress
Vending AI
An empirical AI project exploring when adding more structure improves — or fails to improve — operational outcomes.
Results will be published here when the study closes.
If the bottleneck has not been measured, optimization is speculation.
A result without its conditions is usually less useful than it looks.
A project sitting on a hard drive has no external value.
When measurements contradict the plan, the plan loses.
I have spent more than two decades building software across embedded systems, Linux, device communication, remote management, printing infrastructure and AI systems.
My early work was close to the hardware — BSPs, drivers, communication stacks and storage. Later work expanded into distributed systems, product development, open source, AI inference and technical commercialization.
I am a doctoral student in the Department of Venture and Small Business at Soongsil University.
My current interests sit around technology adoption, productization, operational readiness, and the gap between technical capability and organizational results — the distance between building something and getting it used.
Published papers, talks and datasets will be listed here as they appear.
If you are working on Edge AI, embedded systems, distributed inference, or turning technical prototypes into deployable products, feel free to reach out.