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Phat Dang
Junior Software Engineer specializing in full-stack, DevOps, and GenAI
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About
Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.
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Key Strengths
- End-to-end robotics system integration (perception, localization, navigation, controls)
- Strong ROS 2 architecture practices (composable nodes, clear message boundaries, TF2 frame management)
- Methodical real-time debugging using deterministic reproduction and minimal-topic rosbag capture
- Distributed robotics communication design (namespacing, interface standardization, DDS/QoS tuning, bridges/gateways)
- Simulation-to-real validation workflow (URDF/Xacro modeling, Gazebo/Ignition/Webots, RViz + bag-based regression)
- Production-minded deployment and automation (Docker, Kubernetes/Helm, GitHub Actions CI/CD, versioned artifacts)
- Hands-on mechatronics integration (stepper drivers/motors wiring and control via Raspberry Pi)
- Applied ML model evaluation and adaptation (selecting and fine-tuning DeepFace for dog identification)
Reference Highlights
- dependable
- knowledgeable
- one of the best employees in the department
- able to work on multiple projects with competing priorities
- motivated to learn unfamiliar things
- has the skills to excel in the role
- primary software programmer on senior design project
- works well with team members
- effective in hands-on, collaborative environments
- handles multiple tasks well
- executes urgent software changes quickly and easily
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