United States

Product Design

Master of Science - MS

Master of Engineering - MEng

Engineer

Doan Nguyen

Product strategy

Leadership

Design systems

Machine learning

Python

GitHub

We run business in one of the most difficult markets. If you don't think so, let's talk :D

- "Full-stack" robotics engineer who in charge of mechanical, electrical, software for the company's self-driving solution
- System troubleshoot and problem solve on physical robots
- Implemented MPC controller for an outdoor mobile robot
- Develop software components of the system using C++ and Python in the ROS stack

The project was to develop the autonomous driving capability for Automated Guided Vehicles (AGV).
• System design and software architecture of the system on AGVs.
• Implemented MPC for local planning and control for AGV.
• Implemented deep learning-based object detection functionality using tensorflow lite C++, which utilizes
GPU/Hexagon acceleration of Qualcomm RB5 board.

Worked on several research-oriented projects of the lab.
• Developed a distributed IoT network of multiple CO2 sensors and cameras for human detection, localization, and CO2 mapping.
• Evaluated performance and accuracy of multiple deep learning-based object detection algorithms. Implemented an optimized version of Yolov4 on Jetson TX2 and Nano using TensorRT to utilize the CUDA acceleration framework of Nvidia GPUs.
• Used MQTT protocol for message exchange and stored data on a local SQL database.
• Developed a GUI software for data visualization using PyQt.
• Developed Nonlinear MPC and Linearized MPC controllers using CasADi optimization toolbox using Python and C++. Implemented it on the F1/10th autonomous race car platform (http://ff1rr.nxtlab.org).
• Studied the mathematical connection between the solution of an MPC and the output of a DNN.
• Implemented DNN networks to approximate the solutions of Linear MPC, NMPC, and Linearized MPC
with performance benchmarks.
• Worked on black-box model learning energy usage of building and uncertainty analysis of the trained
models.

- Participated in developing an architecture for layer 3 of Vinsmart's 5G NR base station.
- Implemented components of the layer 3 software using C/C++.

- Developed a symbolic regression-based method to improve the quality product of the Selective Laser Melting (SLM) process.

Doan Nguyen🇺🇸

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