Hey! I'm an undergrad passionate about autonomous systems.
I'm currently TAing machine learning, contributing to research, and leading the AI Club @ OSU while studying robot software.
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Autonomous Underwater Vehicle Docking RL: NVIDIA Isaac environment for training generalizable AUV docking policies.
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Human Pose Estimation Analysis: Evaluation of three deep learning approaches for human pose estimation using PyTorch.
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Informative Path Planning w/ CNNs: An agent that explores to classify handwritten digits and navigate to dynamic goals.
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Exploration & Mapping in ROS: Path planning and obstacle avoidance for a robot to map a 6-room environment using LIDAR.
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IoMT Threat Detection: ML pipeline for detecting malicious network traffic in medical devices over MQTT using scikit-learn.
- Wrote autonomy at Anduril to define behaviors for the Altius drone
- Researched how different point cloud DNNs affect the real2sim gap when used as a preprocessing step for RL
- Contributed to a research lab developing four-wheeled apple-picking robots
- Interned at a startup working on UAVs for agriculture
- Worked with an FSAE team on fully autonomous racecar software, which won first place in the USA in 2025
- Former full-stack web developer (2-year industry experience)