MAJOR PROJECTS I'VE WORKED ON
Mechanix is an NSF-funded research project which utilizes sketch recognition to automatically grade free-body diagram problems in introductory statics courses. Through various methods of artificial intelligence, we are able to provide real-time feedback and guidance to students completing their homework assignments on Mechanix.
I have led project development and deployment to 5 universities with over 1000 students using Mechanix. I developed the majority of the software including the back-end API, front-end interactions, recognition algorithms, and database management.
Sketchtivity is an NSF-funded research project led by Blake Williford. It is a web-app which utilizes sketch-recognition to help teach the fundamentals of design drawing and 3D perspective drawing.
I helped improve database performance and create the tables necessary for tracking student usage and metrics. I also added new functionality including the API for a user profile to let students see their progress.
ZenSketch is an award-winning educational game which takes advantage of stealth learning to improve basic line drawing quality through gameplay. It utilizes gesture-based sketch recognition to extract features related to a user's line accuracy, smoothness, and speed which plays a key role in the game.
Our team won 1st Place (Jury Award) at the CHI Play 2017 Student Game Design Competition.
Shortfin is a search tool developed for a client to aid in finding land titles. The project involved a large dataset which needed to undergo OCR. This was completed through parallelization in AWS. The interface also utilizes artificial intelligence to make inferences about related documents. Since the dataset is so large, lazy loading is used to make the interface snappy while providing all the data a user needs.
BitJockey is a software engineering class project developed for KANM, the student radio station at Texas A&M. It was designed to allow the DJs of the station to create and manage playlists from the station's digital library for use during their weekly shows. BitJockey is used by nearly 100 DJs each semester and provides the station manager with easily accessible metrics to ensure the DJs are following station guidelines.
Research under Dr. Tracy Hammond in the Sketch Recognition Lab. Lead developer on the web-based platform Mechanix which utilizes sketch recognition and machine learning to automatically grade hand-drawn physics homework. Developed all algorithms and managed deployment to 5 universities for use by over 1000 students in engineering courses.
Redesigned database and backend structure for Sketchtivity to greatly improve query speed while adding new functionality.
Lead developer on web-based, internal search engine used by dozens of employees at TAG Summit. Utilized AWS to massively speed up large OCR tasks through parallelization.
Developed platform for student radio station to control, organize, and plan their music library with over 100 DJs per semester.
Provided research project mentoring for over 10 students each summer in the Cyberhealth GIS Research Experience for Undergraduates program.
Worked with students from various academic backgrounds to plan and execute a 10-week multi-disciplinary research project.
Guided students on their senior design projects to keep the project feasible within the timeframe while remaining novel. Provided help to several teams with setting up servers and technology stacks.
Mentored undergraduate students interested in research on projects relating to sketch recognition, education, machine learning classification, and wearable technology.
IUI 2020 Demos
IUI 2020
CHI 2020
CHI Play 2019
TiiS Intelligent Systems 2018
CHI Play 2017 Student Game Competition
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