AI & Robotics Software Engineer
ROS 2 • Edge AI • Reinforcement Learning • System Architecture
Robotics & AI Engineering student at Hanoi University of Industry (Expected May 2026, GPA: 3.00). Specializing in Edge AI deployment, ROS 2 navigation stacks, and Embodied AI. Proven experience acting as a Tech Lead in startup environments, managing embedded teams to deliver autonomous robotic solutions. Published researcher with a Q2 journal paper in RL Robotics and an international conference paper on AI Edge Cameras.
ROS 2, Nav2, Cartographer SLAM, Obstacle Avoidance.
TensorRT, YOLO, VLA Models, AI Edge Camera Optimization.
Modern C++, Python, Multithreading, Memory Management.
Reinforcement Learning (RL), Imitation Learning (IL), LLM/Gemini API Integration.
Designed and deployed a mapping and navigation pipeline for a hospital environment using mecanum wheels.
ROS 2 • Cartographer • Nav2 • C++
Github →
Led a team to integrate ROS and AI modules into an educational STEM container for B2B port industry clients.
System Integration • Project Management • AI Edge
Github →
Built a custom AI assistant utilizing Gemini API and Telegram bot integration for automated task handling.
Python • LLM • Gemini API • API Integration
Github →
Robotics Software Engineer (Young Engineer Program) — VinRobotics
Mar 2026 - Present
Developing and optimizing software modules for autonomous robot navigation, focusing on system integration and algorithm tuning in C++/ROS 2 environments.
Tech Lead / Robotics Software Engineer — Bytehome Vietnam
Oct 2025 - Mar 2026
Led a team of two junior embedded engineers. Directed the architectural design and deployment of ROS 2 mapping and obstacle avoidance systems for smart home and service robots.
[1] Q2 Journal Article: Reinforcement Learning applications in Robotics.
[2] International Conference: Edge AI Camera implementation and optimization.
Email: duypham.robotics@email.com
Github: github.com/phamduyaaaa
LinkedIn: linkedin.com/in/duypham.robotics