Robotic Software Intern
Bubble Robotics | June 2025 - October 2025
Integrated Gazebo simulation framework for custom containerized ros2 C++/Python software for state estimation of commercial robot.
Space Engineer with a passion for robotics!
I grew up in Santa Maria, California, where I got my first job as a field irrigator and eventually my first engineering internship working with automated weeding machines. My exposure to agricultural robotics and my passion for space led to work at USC's Space Engineering Research Center, where I worked on software for ISS-based RPO(Rendezvous and Proximity Operations) experiments. An internship in JPLs robotics section where I designed and conducted a field test for the Venus Aerobot set my passion for robotics in stone. To pursue this passion, I currently attend the Delft University of Technology for Aerospace Controls and Simulations to pursue space robotic design.
From the farm to the International Space Station to the ocean, here's what I've worked on:
Integrated Gazebo simulation framework for custom containerized ros2 C++/Python software for state estimation of commercial robot.
Loaded, hauled, and laid sprinkler pipe. That's pretty much it.
Besides my work experience, I also have been involved in various projects through schoolwork, clubs, or personal projects in order to build my skillset:
Class: Physical Interaction for Aerial and Space Robotics
Developed ROS2 software in C++ and Python to control a 4DOF robotic arm in trajectory tracking and pick-and-place tasks
Github Repository
Class:Spacecraft Attitude Dynamics and Control
Implemented Python-based Extended Kalman Filter to estimate the state, and PD controller to control nonlinear dynamics of simulated spacecraft in pointing mission
Github Repository
Class:Networked and Distributed Control Systems
Solved multi-robot rendezvous optimization problem with several optimization methods, including Alternating Direction Method of Multipliers, in Python
Github Repository(See Assignment 4)
Class:Bio-Inspired Intelligence for Aerospace Applications
Constructed swarm-based lattice structure generation algorithm and conducted sensitivity analysis across several parameters in Python
Github Repository
Class:Automatic Flight Control System Design
Created MATLAB-based flight controller for F16 cruising and landing in low-altitude low-speed flight
Github Repository
Class:Real-Time Distributed Flight and Space Simulation
Created joystick input device and data logging code in C++ for lunar lander simulation group project
Class:Artificial Intelligence for Aerospace Applications
Created RCNN using PyTorch and PyTorch Lightning to identify gates from image data for drone racing applications
Project: USC Senior Design Project
Designed electrical system for Ablative Pulsed Plasma Structure using KiCAD and simulated in
LTSpice before conducting vacuum experiments to attempt to make a simple, low-cost($400) electric
thruster for satellite operations
Club: USC Rocket Propulsion Laboratory
Created a water deluge system in SolidWorks to control the temperature of a deflection plate on a liquid rocket engine test stand
and conducted materials trades for liquid test stand structure
Class:Introduction to Astronautics
Formulated a Linear Quadratic Regulator in MATLAB to control a two-dimensional rocket landing
with constrained thrust and fuel resources
MSc Aerospace Engineering on Controls and Simulation Track
Honours Programme Member
GPA: 7.92 (equivalent to 4.0)
BSc Astronautical Engineering, Minor in Entrepreneurship
Trustee Scholar and Viterbi Merit Research Fellow
GPA: 3.77
Barnhart, D., Topper, H., Lintala, P., Hill, J., Rajguru, A., Haq, S., Adam, H., Ebrahimi, M., and Deliwala, Y., “Enabling Safe Efficient Rendezvous: The value of Cooperative and Communicative RPO”, IAC-24,B6,IP,47,x81526, 75th International Astronautical Congress (IAC), Milan Italy, October 2024.
Pham, T., Adam, H., Byrne, B., Haq, S., Antypas, R., "Ablative Pulsed Plasma Thruster: Understanding Ablation Processes and Plasma Restrikes by Minimizing Current Backflow", AIAA 2024-85577, July 2024. https://doi-org.tudelft.idm.oclc.org/10.2514/6.2024-85577
Rajguru, A., Eyre, E., Ebrahimi, M., Barnhart, D., Adam, R., Griffith, T., Chibuzor, D., Haq, S., Nguyen, J., and Le, J., "CLINGERS: Optimizing RPO Ease for Assembly Operations", 2022 AAS/AIAA Astrodynamics Specialist Conference, Aug 7-11, 2022, AAS 22-580.
Feel free to reach out to me for any opportunities or questions!