Experience

Master of Science in Computer Science (September 2023)

• Thesis: Energy-Aware Path Planning for Fixed-Wing Seaplane UAVs
  • Advisor: Alberto Quattrini Li

Bachelor of Engineering, concentration in Robotics (June 2020)

• Member of Tau Beta Pi

Bachelor of Arts in Computer Science modified with Engineering (June 2020)

• Thesis: Safe Navigation for Autonomous Sailboats under Uncertain Wind Conditions
  • High Honors
  • Advisor: Alberto Quattrini Li
• Member of Phi Beta Kappa

Embedded Software Engineer, August 2025 - Present

• Continued development of Hefring Oceanscout underwater glider firmware
• Implemented low power mode for motor controller processor (PIC24E)
• Improved firmware maintainability and automated test coverage

Embedded Software Engineer, September 2023 - July 2025
Software Engineering Intern, Summer 2022

• Ported Linux kernel and userspace control software to a custom STM32F7 based platform for the Hefring Oceanscout underwater glider *Added features and fixed bugs in Linux based glider firmware that runs cross platform on an i.MX8, STM32F7 and in simulation on x86_64
• Developed bare metal firmware in C for glider peripheral processors (PIC16, PIC18, PIC24E)
• Optimized power consumption (processor sleep, control loop tuning, etc.) to achieve a one month endurance goal
• Redesigned motor controller firmware to reduce power consumption and fix bugs
• Ran glider field tests and supported customer deployments
• Supported glider manufacturing including glider ballasting and buoyancy engine assembly

Software Engineering Intern, Fall 2020 - Summer 2021

• Developed software for IceNode, a buoyant vehicle that will autonomously traverse under the Antarctic ice sheet to measure melt rates
• Designed firmware architecture and implemented vehicle firmware in C++ to run on an i.MX RT1062, including I2C and serial device drivers, data logging and telemetry
• Developed simulations, unit and integration tests of external hardware connected to vehicle processor
• Developed new tools in Python to analyze Mars 2020 flight data

Software Engineering Intern, Summer 2019

• Migrated an embedded Linux platform to Yocto
• Assisted with deployment and recovery of autonomous sailboats
• Debugged and fixed electrical and software issues on the boats

Software Engineering Intern, Spring 2018

• Worked as member of a software engineering team at a startup
• Developed a web backend for a machine learning based satellite imagery analysis platform

Undergraduate Researcher, Fall 2017

• Analyzed ground penetrating radar data to detect crevasses in ice sheets
• Applied a machine learning approach using MATLAB

Intern, Summer 2017

• Researched and implemented a deep learning approach for bronchoscopy depth reconstruction
• Best presentation award at the lab retreat
• Co-wrote a SPIE Medical Imaging conference paper based on my research: Deep learning-based scene reconstruction of bronchoscopy from pulmonary CT: Clinical validation and feasibility study using subjects with suspicious solitary pulmonary nodules

Engineering Student Intern, Summer 2015

• Evaluated the capabilities of MOOS-IvP, autonomous underwater vehicle control software, for mine detection operations