- Developed web platform using Django and React- Led customer research, coordinating interviews with potential users- Semi-finalist in UW Dempsey Startup Competition 2024

- Independently added new test hardware/software to HITL aircraft simulation for anti skid brake testing.- Developed hardware driver and simulation module for generating PWM signals using a UEI DAQ.- Validated work by running takeoff/landing simulations and stimulating test flight computer.

- Developed an MVP for a no-code Computer Vision ML platform using Django and React JS- Finalist in Cal Poly CIE Innovation Quest 2023

- Independently developed a simulation layer in Ignition Gazebo for a ROS2 underwater flight control stack.- Developed a ROS2 hardware driver for servo system derived from in-house technical datasheet.

Fellow with the Central Coast Data Science Partnership 2021-2022Assisted in Research on Coordinate Based Neural Networks and applying Model Agnostic Meta Learning to these models.

- Developed a custom Computer Vision data pipeline using Intel RealSense depth cameras.- Assisted in developing network architecture to share and visualize data captured with depth cameras.- Assisted in developing an HLS live streaming setup with multiple cameras and multiple Nvidia Jetson Nanos, using Gstreamer.

Created visualizations for astronomical data collected from the Sloan Digital Sky Survey (SDSS) on Brightest Cluster Galaxies (BCGs).Drew insights from these visualizations and presented findings at Cal Poly BEACoN research Symposium.

Developed UNet segmentation model for classifying aerial drone footage.