Embedded Software Engineer | Robotics | Edge AI
I build embedded and robotics systems with C/C++17, Embedded Linux, ARM, NVIDIA Jetson, and ROS 2. My work spans sensor integration, system debugging, performance optimization, and edge AI with CUDA/TensorRT, backed by experience in automotive embedded systems.
M.S. Computer Science — California State University, Fullerton
Aug 2024 – Aug 2026 · Graduated August 2026
GPA: 3.8 / 4.0
Robotics software and digital-twin project combining sensor integration, telemetry, system debugging, tilt/fault detection, automated recovery, and robot coordination to improve reliability.
- Stack: NVIDIA Isaac Sim, ROS 2, Python, Reinforcement Learning, LiDAR.
- Verified result: 62.82-minute unattended run, 10/10 orders completed, zero failures, and 3,788 clean telemetry records.
PCB defect detection for embedded visual inspection, with ONNX and a Jetson/TensorRT deployment path.
- Results: 98.3% precision, 98.8% recall, 0.99 mAP50.
- Publication: Accepted at ESCS’26 / CSCE’26.
- Live demo · Python, PyTorch, YOLO.
Additional projects
- Real-Time Fraud & Transaction Risk Pipeline: XGBoost scoring, SHAP explainability, and drift monitoring with FastAPI and Streamlit.
- Healthcare Agent System: Multi-agent decision support with RAG, risk modeling, orchestration, and explainability.
Merged contributions:
- skorch PR #1141:
device='auto'selection. - falsify-inspect: CLI fixes, MMLU-Pro example, and documentation.
- Licinexus MCP PR #24:
formatPncpDatetest coverage.
| Area | Technologies |
|---|---|
| Embedded / Systems | C, C++17, Embedded Linux, ARM, FreeRTOS, POSIX threads, IPC, BSP, Device Drivers |
| Robotics / Edge AI | NVIDIA Jetson, ROS 2, CUDA, TensorRT, DeepStream, OpenCV, GStreamer, ONNX, LiDAR |
| Automotive | AUTOSAR Classic, CAN, CAN-FD, UDS, SIL/HIL, MISRA C, ISO 26262 |
| Debugging / Development | GDB, JTAG, Valgrind, Linux perf, PyTest, CMake, Git/GitHub, GitHub Actions, Docker |
Additional capabilities: Python, PyTorch, TensorFlow.