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Education
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2021 - 2025
Undergraduate
Harvard University, Cambridge, Massachusetts (Computer Science, Joint in Mathematics)
- Harvard-Radcliffe Orchestra (violin)
- Red Line Ultimate Frisbee (captain)
Skills
Languages/Frameworks | Python, C, C++, Java, HTML/CSS, React Native, SQL |
Other | PyTorch, NumPy, ROS, Git, Bash, OpenCV |
Experience
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5/2023 - 9/2023
Research Programmer
Field Robotics Center, Robotics Institute, Carnegie Mellon University
- Developed a robust vision system using Mask R-CNN, ICP, and RANSAC for image segmentation and point cloud analysis, for inserting nitrate sensors into corn stalks to assist in farming. Validated in farms in Iowa.
- Designed a crop-agnostic navigation pipeline. Validated in multiple crop types and in simulation.
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8/2022 - 12/2022
Teaching Fellow
CS50, Harvard University
- Selected among 800 students for a teaching position, and led weekly sections to introduce and review and content in C, Python, SQL, and HTML.
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6/2022 - 8/2022
Research Intern
Intelligent Coordination and Logistics Lab, Carnegie Mellon University
- Developed simulation package for testing air filter replacement on International Space Station, which is now used to test high-level planners at NASA.
- Researched and implemented optimization techniques for dense multi-vehicle routing problems, focused on assignment of areas to vehicles.
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6/2020 - 8/2021
Staff Programmer
Field Robotics Center, Robotics Institute, Carnegie Mellon University
- Created a local, autonomous vineyard navigation pipeline, using deep learning for Lidar point cloud semantic segmentation, extended Kalman filters for tracking vineyard rows, and a custom path planning algorithm for driving. Validated pipeline in simulation.
- Designed a live drone mapping system for detecting 3D landmarks in forest environments, combining 2D image detection with Lidar-camera projection to yield faster results.
- Built simulation environment for Carnegie Mellon University students using Clearpath Robotics ROS robots and Gazebo simulator.