Devin Pham

I work at the intersection of robotics and machine learning, where I focus on building perception systems that help autonomous mobile robots understand and interact with the world around them. I also develop full-stack web applications that interface with robots to enable real-time monitoring, control, and visualization of their behavior and data.

If you are interested in my work, feel free to reach out to me!

Devin Pham

Projects

Advancing robotics through the power of data science

Robotics

Camera-Based Human Tracking and Following Algorithm for Mobile Robots

Developed a camera-based human tracking pipeline to enable the safe and efficient relocation of airport robots. This algorithm detects and tracks human movement in real time using Ultralytic's YOLOv11 model and a 3D depth camera to create a dynamic path plan.

ROS Python HTML JS OpenCV Gazebo Computer Vision Deep Learning YOLO HRI CUDA Cloud-Hosted Fleet Monitoring and Control App for Mobile Robots

Cloud-Hosted Fleet Monitoring and Control App for Mobile Robots

Built a comprehensive cloud-based platform for real-time fleet monitoring, control, and analytics with web and mobile interfaces.

React Node.js AWS LiDAR-Based Detection of Planar Surfaces for Robotic Process Monitoring

LiDAR-Based Detection of Planar Surfaces for Robotic Process Monitoring

Developed a LiDAR-based system for detecting and analyzing planar surfaces in industrial environments to enable precise robotic process monitoring and quality control.

ROS Python C++ LiDAR Point Cloud PCL RANSAC Industrial Automation Camera-Based Lane Detection Algorithm for Autonomous Vehicles

Camera-Based Lane Detection Algorithm for Autonomous Vehicles

Implemented a robust lane detection system using computer vision techniques to identify road lanes and provide navigation guidance for autonomous vehicle systems.

Python OpenCV Computer Vision Edge Detection Hough Transform Autonomous Vehicles Machine Learning

Curriculum Vitae

Education, Experience & Skills

Overview

Name
Devin Pham
Label
Robotics Engineer, Data Scientist, AI/ML Researcher, Full Stack Developer
Email
devinpham.ds@gmail.com
Summary
UCSD alumnus and robotics engineer with expertise in perception systems, AI/ML pipelines, and full-stack development. Experienced in C++, Python, ROS2, CUDA, and YOLO for developing and deploying GPU-accelerated solutions. Skilled at simulation, testing, and collaborative engineering to deliver scalable and efficient robotic applications.

Work

Summer 2023
Remote

Robotics Engineer Intern

Company Name

Worked on developing perception and planning systems for autonomous mobile robots in warehouse environments.

  • Implemented multi-robot coordination algorithms
  • Optimized path planning performance by 40%
  • Deployed solutions on fleet of 20+ robots
2022 - 2024
San Diego, CA

Research Assistant - Robotics Lab

University of California, San Diego

Conducted research on learning-based control methods for underactuated systems.

  • Published 2 papers in major robotics conferences
  • Developed novel MPC algorithms for quadrotor control
  • Mentored 3 undergraduate students

Education

2021 - 2024
San Diego, CA

Bachelor of Science in Data Science

University of California, San Diego

Focus on machine Learning and artificial intelligence. Senior project on "Deep Learning in Autonomous Vehicles"

  • Programming & Data Structures
  • Probability & Statistics
  • Data Management
  • Robotics

Technical Skills

Programming Languages

Python, C++, MATLAB, Julia, JavaScript

Frameworks & Tools

ROS/ROS2, PyTorch, TensorFlow, OpenCV, PCL, Gazebo, MuJoCo, Git

Core Competencies

Control Theory, Optimization, Machine Learning, Computer Vision, Path Planning, SLAM, Reinforcement Learning