California Institute of Technology, Pasadena, CA

B.S., Mechanical Engineering (May, 2023)

Minor in Control and Dynamical Systems

Mechanical Engineering Intern, Neuralink

Neuralink is a startup pioneering the future of brain computer interfaces to help people with paralysis

• Part of key reversibility team working to make the implant explantable and upgradible. Presented to company leadership weekly
• Deleted greater than 10 minutes per development surgery by inventing new calibration mechanism for needles
• Developed solutions for brain implant isolation through the dura

Mechanical Engineering Intern, AMBER Lab, Caltech, Pasadena CA

• Designed and constructed agile quadrotor drone with inhouse autonomy software and hardware
• Implemented safety guarantees with control barrier functions on quadrotors (extensive C++)
• Learn to Fly system allows beginners to operate drones safely with autonomy in background
• Journal paper submitted to IEEE RA-L, Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions
• Designed system to autonomously fly, track, and communicate with several quadrotors from flight controller to multi-agent planner
• Time-varying backup barrier functions builds on previous work with barrier functions, improving performance and enabling multi-agent flight
• Conference paper submitted to IEEE IROS, Time-varying backup controllers

Machine Learning Intern, Seagate Technology, Bloomington MN

• Developed ML (Segnet, Unet, Resnet) to identify manufacturing defects at production scale
• Utilized open-source ML libraries to implement network architectures found in academia
• Custom ML annotation tools save 20,000 hours of operator inspection time per year (1 year later)

Mechanical Engineering Intern, Seagate Technology, Shakopee MN

• Developed all aspects of custom metrology for clean-room automation equipment
• Created fixturing (Solidworks) and software(python) to interface the PLC, driver computer, and system network
• Oversaw the completion of documentation and repeatability testing(GR&R). Presented on weekly trends

Research Intern, LISEC Lab, University of Minnesota, Minneapolis MN

• Developed electronics, hardware, and software for wireless communication between two IMUs and laptop
• Technology was targeted at developing an arm motion tracking tool for physical therapy environments (2017)
• Developed system to measure joint rigidity in Parkinson’s Disease patients
• Used IMU with specially modified force sensitive resistors to adaptively measure elbow joint rigidity (2018)