ASIC to Physical AI
A veteran Korean engineer with 30+ years across ASIC, FPGA, embedded Linux, networking, Vision AI, AIoT and edge-to-server infrastructure.
About / Identity
Jin Won has built across the full stack of physical computing: ASIC and FPGA foundations, embedded hardware, firmware, Embedded Linux, OpenWRT, VoIP, networking infrastructure, Python backend systems, AIoT and Vision AI on Jetson platforms. The differentiator is continuity: engineering judgment formed in the semiconductor era and applied to the AI era.
A visible proof point for high-impact engineering execution, innovation and product-oriented technical contribution.
A rare semiconductor-era background that connects hardware architecture, digital logic and modern AI infrastructure.
Engineering Philosophy
Real intelligence is measured where sensors, power, heat, latency, firmware and field networks meet.
Edge devices, protocol paths and server operations decide whether AI becomes a working system.
Industrial intelligence needs deterministic engineering, not demos that fail outside the lab.
ASIC to AI Timeline
One of Korea's early ASIC development engineers; verification responsibility for Samsung Group's first facsimile ASIC.
Digital logic, VHDL, OrCAD, Altium, PSpice and PADS based hardware engineering practice.
Embedded Linux, OpenWRT, ARM/MIPS cross-compilation, middleware and real-world device integration.
VoIP, LAN/WAN, routers, switches, VPN, DSL, AMI, PoE and industrial connectivity.
Python backend/server development, Edge AI service architecture and edge-to-server data paths.
Jetson Nano, camera integration, embedded inference and AIoT vision workflows.
Device-to-cloud intelligence systems where AI interacts with sensors, hardware and industrial environments.
Edge AI Architecture
Physical AI Projects
Jetson Nano and edge vision work involving IP cameras, image sensor boards, embedded inference and physical scene interpretation.
Device firmware, OpenWRT, ARM/MIPS environments, middleware and Linux-based embedded product architecture.
VoIP, routers, switches, VPN, LAN/WAN, DSL, Wi-Fi HaLow, PoE, AMI and industrial network operations.
Python backend/server development, web service architecture, web applications and edge-to-server integration.
ASIC, FPGA, VHDL, OrCAD, Altium, PSpice and PADS experience applied to modern embedded AI systems.
Technical support, infrastructure diagnosis, new business planning and system-level guidance for real-world AI adoption.
WaterMag Logger v0.1
WaterMag Logger v0.1 — USB-C Magnetic-Field Logger for Dry Water Meters
A USB-C magnetic-field logger that records dry water meter rotation signals directly in the field, checks saturation risk and mounting position, and accelerates final AMR device design decisions with real data.
Plug it into a smartphone and check magnetic rotation signals and saturation risk at the same time.Connect it to an Android USB-C smartphone, start the app, and save sessions by site name and meter ID.
Record low-field high-resolution A1 and high-field B2 together to judge saturation risk near the mounting position.
Save X/Y/Z and |B| values at 10 Hz so they can be compared directly in Excel or Python for repeatability review.
Use real meter data to narrow sensor range, position, spacing, and rotation-detection feasibility before productization.
Validate lab assumptions with field data and accelerate the final design of AMR / remote meter reading devices.
Achievements & Awards
Positioned as evidence of high-impact engineering excellence, innovation capability and product execution.
A historical semiconductor engineering foundation spanning the ASIC era to the AI era.
Embedded systems, AI, Edge AI computing, AIoT, industrial systems and infrastructure architecture.
Technology Domains
Career Timeline
Samsung Group Silver Prize Award and early ASIC verification work.
Digital circuits, FPGA/VHDL, firmware, tooling and field technical support.
OpenWRT, VoIP, LAN/WAN, AMI, routers, switches, VPN and device connectivity.
Jetson Vision AI, AIoT, Python backend/server development and device-to-cloud architecture.
Contact
Best fit: AIoT architecture, device-to-cloud systems, Vision AI, Embedded Linux/OpenWRT, industrial networking, technical due diligence and recovery of difficult engineering projects.