Cong-nguyen Bui

Developing real-time ultrasonic NDT inspection systems for semiconductor component quality control. Architecting a hybrid C# / C++ / CUDA pipeline for high-speed signal acquisition and GPU-accelerated analysis. Integrating industrial motion control and digitizer hardware into real-time processing pipelines. Leading junior engineers through code review and hardware validation. Leveraging AI coding agents (Claude CLI, Gemini CLI, OpenAI Codex) to accelerate development velocity.

Delivered two production machine-vision inspection systems in under 4 weeks using YOLOv8 (ONNX Runtime), classical image processing, C#, C++ and Python.

Researched and developed NPU compiler algorithms on top of Tenstorrent's open-source stack (tt-buda / tt-metal), targeting edge-device NPUs for automotive AI applications. Work included low-level kernel analysis, AI model porting, and quantization for on-device inference.

Architected real-time remote control and fleet management systems for drones and ground stations using C/C++, C#, .NET Core 8.0, and Python on Windows and Linux. Implemented MQTT-based IoT telemetry and ROS2-based object detection for drone cameras. Migrated monolithic desktop application to multi-platform services including web and Android remote controller. Added 3D scene reconstruction using Gaussian Splatting.

Worked in R&D Nano Routing group on Cadence Innovus EDA software, focusing on debugging and analyzing complex global routing algorithm flows for 7nm–2nm process nodes. Used C++99 and gdb extensively on a large-scale Linux codebase for deep algorithm flow analysis and bug isolation. Also contributed routing feature improvements optimizing power, area, wire length, and via count. Korea-based role collaborating with US R&D team.

Worked in Mobile Division as Computer vision Staff software engineer. Design, implement, enhance and maintain the image and video processing algorithms in MATLAB, C/C++, Python (OpenCV, Pytorch) in PC version to verify then make share object library (JNI) and test in Android (Java) by Android Studio, Eclipse. •OCR algorithm for printed character in image, video. •Accessibility vision algorithms: finger detection, face detection, clothes pattern detection, color clustering. •Health care devices: reading 7 segments number in LCD of health care device. •Camera application: magnifier widget in smart phone for low vision people. •Camera application: improve algorithm to select best photo in multiple shots, implement video summary, video analysis algorithms. •Photo editor application: implement algorithms in editing photo; enhance photos, post-processing photos. Optimize the algorithm to make fast forward or backward editing photos. Design and implement calculate tilted angle of photos. •Blue Light filter application for smart device’s display. •barcode detection algorithm, localize barcode area in very short time. •real time video object tracking algorithm (classical computer vision) •Video streaming IP camera using H264 •Dual camera application: Time of Flight (TOF) – RGB camera stereo calibration, enhance calibration algorithm to get low re-projection error. •Depth Camera application: use TOF-RGB camera to measure the objects, human height measurement. •Palm detection algorithm. •Power measurement and optimize the algorithms for reducing power consumption. •Measure and calibrate sensors of devices for AR Core. •In-house certificate: Software Certificate levels (3/4): Professional level •In-house certificate: computer vision algorithms, machine learning, deep learning courses

Design and implement image processing algorithms by using C, C++, MFC for LCD inspector device: • Defect detection in LCD monitor screen with many LCD cell types, • Detect edge, circuit in circuit board area.

Android, iOS application developer.