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 October 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.
I built various software scripts and a GUI program to make collecting, processing, and storing images easier for users.
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.
Worked with a team to develop a Campus Concierge Robot, allowing students to ask general queries such as campus directions and weather forecasts. Different deployment locations unlock different functionality such as IT Service Desk Assistant, which allows students, faculty, staff, and visitors to submit support tickets to the IT Help Desk.
Python • Robotics • RAG • Applied AI • AI Business Solutions • AI-Powered Software Development
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