Graduate student, expected graduation with master's in May 2019, seeking full-time employment starting summer or fall.
Custom sensor/actuator wireless network. Locally hosted website for interaction.
The greenhouse features fully automated drip irrigation, ventilation, and lights, as well as a locally hosted website that allows a user to interact with the status of the greenhouse. The system design was inspired by the Internet of Things framework, three Raspberry Pi modules drive ventilation and lighting, drip irrigation, and sensor data collection respectively. Additionally, we designed cost-effective soil moisture probes that communicate in a mesh network using the lightweight Arduino Pro Mini. The user is able to tailor the number of probes, plants, and actuators in the system to best fit their individual budget. The design we implemented features two plants per drip irrigation actuator, with only one soil moisture sensor per actuator (bottom left image). All sensor data is recorded in a SQL database and stored for the user to reference as they change the plants and, subsequently, desired conditions. An final Raspberry Pi was used to host the server and database, and all components are stored in a recycled computer case (bottom right image).
Modeled movement of a Spirograph, designed and fabricated prototype.
For a two-person project, I investigated how to fabricate a Spirograph, a drawing implement that produces "flower-like" curves. We modeled a simple gear system using MATLAB to investigate what kinds of curves we could create with limited sized gears. We selected a simple gear set that produced visually distinct results when changing the position of the pen over the base table, and then modeled those gears in openSCAD using the parameters produced in MATLAB. Finally, we fabricated the spirograph with a formlabs printer. In the end, the pen holder proved to be the most challenging part of the design, as our 3D printer was too small to accomodate printing a gear system that could hold the weight of standard ballpoint pens.
RaspberryPi for data scraping from Twitch servers, analyzing traffic patterns for ad targeting.
Using outcome prediction algorithms, Android app with MVC structure.