Member of both the DevOps and Logistics teams of MIT's annual premier undergraduate Hackathon. Our team writes the underlying software for the applications, selection, submission, and judging of over 1,000 competitors for both the HackMIT and Blueprint Hackathons.

Member of the Autonomy Team of MIT's Autonomous Boat Team that competes in the annual RoboBoat competition. Our team writes code to control an ASV (autonomous surface vehicle) to navigate on its own and complete various real-world tasks in a competition setting.

F.I.R.S.T. Robotics Competition Team 503: Frog ForceAs the lead of the Software group, I manage a team of 20+ students to write high quality, high performance robot code in a short six-week build season to accurately control a robot weighing 125 lbs. I have been in charge of autonomous development for the past three years, utilizing various sensors and perfoming R&D on LiDAR and SLAM Algorithms, Computer Vision via AprilTags, and sensor fusion through EKFs to accurately maneuver our "swerve drive" robot capable of driving in any direction at 18 feet per second. My adaptive trajectory generation and following code has been instrumental in winning us numerous awards and having high scoring autonomous routines that can be resilient to disturbances, as well as automating tasks for the drivers during the Tele-Operated period. I also contribute readily to our team's outreach efforts, being a founding member of and the student lead of the Motor City Alliance, an organization that has started and sustained 90+ elementary and middle school FIRST Robotics teams in inner-city Detroit. I run annual Java programming classes for students in my city as well. I was one of our Chairman's Award (the most prestigous award in FIRST) presenters the year our team won the award at the World Championship, inducting us into the Hall of Fame (only 1% of teams).The past year, I was nominated by my team for the Dean's List Award, the only award given to individual students. I won the award at the District Level, the Michigan State Championship, and eventually was one of 20 in the world (out of 30+ thousand overall) to be selected.

Worked on an independent research project and authored a paper with guidance from Dr. Shi and Liangkai Liu called “FollowMe: A Robust Framework for the Guidance of Sensorless Indoor Mobile Robots.” The paper was accepted to and published at the IEEE International Conference on Mobility in May of 2023. The project involved two indoor autonomous mobile robots, one outfitted with enough sensors to localize itself and another only capable of driving (it had no sensors). FollowMe is the modular framework I developed during this internship to plan paths for each robot to make them each have full autonomous path following capability, something that would have been previously impossible without expensive sensors on both robots, thus increasing the accessibility of autonomous robots. I had the opportunity to present my paper at the IEEE M.O.S.T. conference May 17-19 as it was accepted and published there. To test the software, which was written in ROS and Python (it is open source: https://github.com/Torreskai0722/FollowMe) I had to build two mobile robot platforms, one with a LiDAR and several USB cameras and another with AprilTags attached.

At the EonSTEM Academy, I worked as an instructor for the Drone Programming course, working directly with kids in the elementary to middle school range, and also worked updating existing course curricula and designing new, more advanced courses to help grow the company's offerings to a larger audience.