Computer Science Graduate • Top 5% in Cybersecurity • AI & Embedded Systems
Currently doing applied AI research and AI engineering this summer, and will be available to start
full-time in September 2026
The VineTech project helps vintners accurately predict grape yield using images collected throughout the growing season and processed through a machine learning pipeline.
I modified the FarmNG Amiga Rover by adapting legacy hardware/software to function on the new platform.
I solved a major system limitation where the rover reset to factory defaults on every power cycle. By implementing a non-standard workaround, I preserved configurations and enabled persistent system updates.
Using OpenGoPro, I enabled Bluetooth communication between the rover’s Ubuntu-based brain and multiple GoPro cameras. I also helped develop an onboard application allowing users to start and stop image capture in the field.
The system uses a model developed by Dr. J. Walker Orr to analyze vineyard images segmented by bays and rows, achieving an approximate 10% error rate in yield prediction.
Developed an autonomous yield prediction rover using the FarmNG Amiga platform. Integrated GoPro cameras for large-scale image data collection and enabled programmatic control via OpenGoPro on the rover’s Ubuntu-based system. Prioritized reliability, modular design, and field usability.
Embedded Systems • Python • Robotics • ROS • OpenGoPro API • Wireless Communication • Machine Learning
Designed and optimized a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset. Focused on hyperparameter tuning to improve model accuracy and understand performance tradeoffs in deep learning systems.
Python • TensorFlow/Keras • Machine Learning • Computer Vision • Hyperparameter Optimization
Developed an IoT-based noise monitoring device to measure and report sound levels in study environments. Implemented real-time data transmission to the cloud for remote monitoring and analysis.
JavaScript • AWS • MQTT • IoT • Cloud Integration
Web application to estimate solar panel and battery requirements based on user-defined energy consumption, helping users plan off-grid power systems.
JavaScript • CSS • HTML • Web Development
Collaborated on a web-based tool to help small coffee shops estimate profit margins and manage inventory. Served as project manager using the SCRUM framework, coordinating development and design.
JavaScript • HTML • Team Leadership • Project Management
NCL Team Spring 2026
37th (Experienced Bracket)NCL Team Fall 2025
200th OverallNCL Individual Fall 2025
442nd OverallCCDC Nationals 2025