Experience

Rice Eclipse

• United States
• Aviation and Aerospace Component Manufacturing
• 1 - 100 Employee

• President

  • Apr 2023 - Present

  Managing the finances and student body relations for the largest engineering design club at Rice University with over 100 members. Planning meetings with club officers to construct and launch Archimedes, our most complex rocket that has been in development for over five years

• Avionics Research and Development Lead

  • Apr 2022 - Present

  - Leading a new team of ~10 people to build an autonomous unfolding drone that deploys from our competition rocket at 30,000 feet in the air, take photos of the ground below, and stitch the images together in a georeferenced raster- Recruiting for a new sub team, retaining members, delegating research, design, and software tasks- Using ArduPilot, Rasterio, OpenCV, and Python for the rocket autopilot- Wiring Raspberry Pi, Pixhawk, and auxiliary hardware

• Member

  • Aug 2021 - Apr 2022

  - Prototyped and tested the team's auto-recovery system, using a paraglider to land our rockets in a desired location, avoiding the wind-caused drift upon descent caused by traditional parachutes- Wrote code for the Arduino and Raspberry Pi to interpolate rocket position and rotation relative to the ground using IMU sensor input- Planned the auto-recovery system electrical and mechanical layout, collaborating with aerodynamics teams to integrate the plan with the rest of our rockets


Synopsys Inc
• United States
• Software Development
• 700 & Above Employee
• Software Engineer Intern

  • May 2023 - Aug 2023


The University of Texas Health Science Center at Houston (UTHealth Houston)

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Data Science Researcher

  • Aug 2022 - May 2023

  - Processing and cleaning data from next-generation electrode depth arrays for seizure localization for patients with epilepsy. - Writing software to find optimal EEG electrode array placement for information extraction by maximizing lead field diversity. - Using L1 norm optimization algorithms and PCA/LDA classification to find sparse sensor locations and use inverse models to find source neural dipoles. - Reading academic papers on novel sparse sensor placements strategies and inverse modeling brain voltages from EEG sensors, integrating the research into our data analysis code. Show less



Rice Electric Vehicle

• United States
• Motor Vehicle Manufacturing
• 1 - 100 Employee

• Autonomous Driving Lead

  • Sep 2021 - Apr 2023

  - Restructured the project management of the autonomous driving team, dividing it into subteams with more concrete goals and responsibilities - Created a certification program where new members build their own autonomous lane-following RC car using a BeagleBone with ROS and OpenCV - Configured the team's computer to run the simulation software CARLA, used ROS topics to publish and subscribe to virtual sensor data streams - Restructured the project management of the autonomous driving team, dividing it into subteams with more concrete goals and responsibilities - Created a certification program where new members build their own autonomous lane-following RC car using a BeagleBone with ROS and OpenCV - Configured the team's computer to run the simulation software CARLA, used ROS topics to publish and subscribe to virtual sensor data streams



American Institute of Aeronautics and Astronautics - Rice University Chapter

• United States
• Aviation & Aerospace
• 1 - 100 Employee

• SUAS Computer Vision Lead

  • Apr 2022 - Nov 2022

  Leading a team to quickly geotag objects using a drone-mounted camera and gimbal. Using a Raspberry Pi to send images over a network for ground station processing. I'm also partially responsible for designing our drone's electronic systems and developing our autonomous path-planning software. Leading a team to quickly geotag objects using a drone-mounted camera and gimbal. Using a Raspberry Pi to send images over a network for ground station processing. I'm also partially responsible for designing our drone's electronic systems and developing our autonomous path-planning software.



Space Intelligence Ltd

• United Kingdom
• Business Consulting and Services

• Software Research Intern

  • May 2022 - Aug 2022

  Analyzed satellite data from tropical forests using computer vision and machine learning to monitor ecosystem health. Collaborated with faculty from the University of Edinburgh and the Royal Botanical Garden Edinburgh, using their insights in our modeling. Analyzed satellite data from tropical forests using computer vision and machine learning to monitor ecosystem health. Collaborated with faculty from the University of Edinburgh and the Royal Botanical Garden Edinburgh, using their insights in our modeling.



FIRST Robotics Competition Team 5970 - Beavertronics

• Team Captain

  • Sep 2017 - May 2021

  - Facilitated meetings, delegated tasks, created project management systems, and led the engineering design process for a team of over 20 high schoolers. - Oversaw the CAD subteam, facilitated integration of subassemblies, and spearheaded design reviews. - Planned in-shop manufacturing, corresponded with sponsors and off-site manufacturers, and emphasized quality. - Solved robot code and deployment errors using Python and Linux. - Facilitated meetings, delegated tasks, created project management systems, and led the engineering design process for a team of over 20 high schoolers. - Oversaw the CAD subteam, facilitated integration of subassemblies, and spearheaded design reviews. - Planned in-shop manufacturing, corresponded with sponsors and off-site manufacturers, and emphasized quality. - Solved robot code and deployment errors using Python and Linux.