About
Currently#
Preparing a startup around a spatial perception engine for robotics — a depth camera system built on hardware-software co-design that rethinks how machines perceive 3D space. Targeting warehouse AMR, agricultural robots, and autonomous systems.
Alongside this, I teach AI and embedded systems engineering at SeSAC Jongno Campus, designing and delivering training programs from edge AI deployment to full-stack robotics.
Background#
I’m an engineer who works across the full stack — from transistor-level circuit design to edge AI deployment. I build hardware-software systems, design technical training programs, and teach engineers how to do the same.
If you can’t explain it simply, you haven’t understood it. That’s the standard I hold myself to — in engineering and in teaching.
Work#
Engineering#
- Depth Perception for Robotics — Designing an active stereo depth camera module targeting warehouse AMR, agricultural robots, and autonomous systems.
- FPGA & Neuromorphic Computing — Implementing Spiking Neural Networks on FPGA (NDA, SUNY-affiliated research startup). RTL design, BRAM memory mapping, MNIST inference pipelines.
- Edge AI Deployment — Model quantization, pruning, and hardware-aware optimization for resource-constrained platforms (Hailo-10, Raspberry Pi 5).
Education#
- AI & Embedded Systems Training — Designed and delivered multi-month curricula covering fundamentals through edge deployment. Ranked #1 in trainee evaluations across all instructors.
- University-Level Instruction — AI and embedded systems workshops for university faculty, bridging academic theory and industry practice.
- Published Series — 16-part SoC architecture deep dive covering digital logic through pipelined RISC-V processors, cache hierarchies, and ARM Cortex-M firmware. 20-day embedded autonomous driving series from Linux internals to Hailo-10 NPU integration.
Domains#
Hardware: SoC, FPGA/RTL (Verilog), RISC-V, ARM Cortex-M, Analog/Digital Circuits, BLDC Motor Control
AI/ML: SNN/Neuromorphic, CNN, Object Detection (YOLO), LLM, Model Compression
Robotics: ROS2, SLAM, Sensor Fusion, Stereo Vision, 3D Reconstruction (Gaussian Splatting, NeRF), Edge AI (Hailo-10)
Systems: Linux Internals, Networking (TCP/UDP, DDS), Concurrency
This Site#
wiredwisdom is my technical knowledge base — deep dives, implementation notes, and training materials across everything I work in. If it’s on this site, I can talk about it in front of a whiteboard.
Start Here#
- GPU Architecture: The Engine Behind Parallel Computing
- SNN Learning: STDP and Neuromorphic Computing
- Day 1 — Embedded Autonomous Driving Series